{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Iterating over multiple refutation tests\n",
    "The objective of this notebook is to compare the ability of refuters to detect the problems in a given set of estimators.\n",
    "Note:\n",
    "This notebook makes use of the optional dependencies:\n",
    "- pygraphviz\n",
    "- causalml"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dowhy.datasets import linear_dataset\n",
    "from dowhy import CausalModel\n",
    "import causalml"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inspection Parameters\n",
    "These parameters give us the option of inspecting the intermediate steps to sanity check the steps performed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "inspect_datasets = True\n",
    "inspect_models = True\n",
    "inspect_identified_estimands = True\n",
    "inspect_estimates = True\n",
    "inspect_refutations = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Estimator List\n",
    "We pass a list of strings, corresponding to the estimators of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "estimator_list = [\"backdoor.propensity_score_matching\", \"backdoor.propensity_score_weighting\", \"backdoor.causalml.inference.meta.LRSRegressor\"]\n",
    "method_params= [ None, None, { \"init_params\":{} } ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Refuter List\n",
    "A list of strings, corresponding to each refuter we wish to run"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "refuter_list = [\"bootstrap_refuter\", \"data_subset_refuter\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create the Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Parameters for creating the Dataset\n",
    "TREATMENT_IS_BINARY = True\n",
    "BETA = 10\n",
    "NUM_SAMPLES = 5000\n",
    "NUM_CONFOUNDERS = 5\n",
    "NUM_INSTRUMENTS = 3\n",
    "NUM_EFFECT_MODIFIERS = 2\n",
    "\n",
    "# Creating a Linear Dataset with the given parameters\n",
    "linear_data = linear_dataset(\n",
    "            beta = BETA,\n",
    "            num_common_causes = NUM_CONFOUNDERS,\n",
    "            num_instruments = NUM_INSTRUMENTS,\n",
    "            num_effect_modifiers = NUM_EFFECT_MODIFIERS,\n",
    "            num_samples = NUM_SAMPLES,\n",
    "            treatment_is_binary = True\n",
    "        )\n",
    "# Other datasets come here \n",
    "\n",
    "\n",
    "# Append them together in an array\n",
    "datasets = [linear_data]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inspect Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "####### Dataset 1###########################################################################################\n",
      "         X0        X1   Z0        Z1   Z2        W0        W1        W2  \\\n",
      "0 -1.372310 -0.633368  0.0  0.353144  0.0 -0.089772 -0.838580  0.284335   \n",
      "1  0.713931  0.802709  0.0  0.653470  1.0 -1.083905 -1.160895  0.591947   \n",
      "2 -0.384362 -0.451062  0.0  0.341027  1.0 -1.344159 -0.966449 -0.181318   \n",
      "3  1.515319 -1.363540  0.0  0.835704  1.0  0.342380 -1.004874  1.552707   \n",
      "4  0.368875 -0.829938  0.0  0.071521  0.0 -0.128446 -1.994744  0.519826   \n",
      "\n",
      "         W3        W4     v0          y  \n",
      "0  1.223258 -1.124599   True   2.034000  \n",
      "1  1.779737 -0.612423   True  11.125450  \n",
      "2 -0.290884 -1.743305  False  -9.777346  \n",
      "3  1.042000 -2.330312   True  10.343818  \n",
      "4  0.479455 -1.345510  False  -4.253140  \n",
      "#############################################################################################################\n"
     ]
    }
   ],
   "source": [
    "dataset_num = 1\n",
    "if inspect_datasets is True:\n",
    "    for data in datasets:\n",
    "        print(\"####### Dataset {}###########################################################################################\".format(dataset_num))\n",
    "        print(data['df'].head())\n",
    "        print(\"#############################################################################################################\")\n",
    "        dataset_num += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create the CausalModels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_model:Model to find the causal effect of treatment ['v0'] on outcome ['y']\n"
     ]
    }
   ],
   "source": [
    "models = []\n",
    "for data in datasets:\n",
    "    model = CausalModel(\n",
    "                data = data['df'],\n",
    "                treatment = data['treatment_name'],\n",
    "                outcome = data['outcome_name'],\n",
    "                graph = data['gml_graph']\n",
    "            )\n",
    "    models.append(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inspect Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "####### Model 1#############################################################################################\n",
      "Common Causes: ['W4', 'W2', 'W1', 'W3', 'W0', 'Unobserved Confounders']\n",
      "Effect Modifiers: ['X0', 'X1']\n",
      "Instruments: ['Z2', 'Z1', 'Z0']\n",
      "Outcome: ['y']\n",
      "Treatment: ['v0']\n",
      "#############################################################################################################\n"
     ]
    }
   ],
   "source": [
    "model_num = 1\n",
    "if inspect_models is True:\n",
    "    for model in models:\n",
    "        print(\"####### Model {}#############################################################################################\".format(model_num))\n",
    "        print(\"Common Causes:\",model._common_causes)\n",
    "        print(\"Effect Modifiers:\",model._effect_modifiers)\n",
    "        print(\"Instruments:\",model._instruments)\n",
    "        print(\"Outcome:\",model._outcome)\n",
    "        print(\"Treatment:\",model._treatment)\n",
    "        print(\"#############################################################################################################\")\n",
    "        model_num += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Identify Effect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:dowhy.causal_identifier:If this is observed data (not from a randomized experiment), there might always be missing confounders. Causal effect cannot be identified perfectly.\n",
      "INFO:dowhy.causal_identifier:Continuing by ignoring these unobserved confounders because proceed_when_unidentifiable flag is True.\n",
      "INFO:dowhy.causal_identifier:Instrumental variables for treatment and outcome:['Z2', 'Z1', 'Z0']\n",
      "INFO:dowhy.causal_identifier:Frontdoor variables for treatment and outcome:[]\n"
     ]
    }
   ],
   "source": [
    "identified_estimands = []\n",
    "for model in models:\n",
    "    identified_estimand = model.identify_effect(proceed_when_unidentifiable=True)\n",
    "    identified_estimands.append(identified_estimand)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Identified Estimands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "####### Identified Estimand 1#####################################################################################\n",
      "Estimand type: nonparametric-ate\n",
      "\n",
      "### Estimand : 1\n",
      "Estimand name: backdoor1\n",
      "Estimand expression:\n",
      "  d                                 \n",
      "─────(Expectation(y|W4,W2,W1,W3,W0))\n",
      "d[v₀]                               \n",
      "Estimand assumption 1, Unconfoundedness: If U→{v0} and U→y then P(y|v0,W4,W2,W1,W3,W0,U) = P(y|v0,W4,W2,W1,W3,W0)\n",
      "\n",
      "### Estimand : 2\n",
      "Estimand name: backdoor2\n",
      "Estimand expression:\n",
      "  d                                    \n",
      "─────(Expectation(y|W4,W2,W1,W3,W0,X1))\n",
      "d[v₀]                                  \n",
      "Estimand assumption 1, Unconfoundedness: If U→{v0} and U→y then P(y|v0,W4,W2,W1,W3,W0,X1,U) = P(y|v0,W4,W2,W1,W3,W0,X1)\n",
      "\n",
      "### Estimand : 3\n",
      "Estimand name: backdoor3\n",
      "Estimand expression:\n",
      "  d                                    \n",
      "─────(Expectation(y|W4,W2,W1,W3,W0,X0))\n",
      "d[v₀]                                  \n",
      "Estimand assumption 1, Unconfoundedness: If U→{v0} and U→y then P(y|v0,W4,W2,W1,W3,W0,X0,U) = P(y|v0,W4,W2,W1,W3,W0,X0)\n",
      "\n",
      "### Estimand : 4\n",
      "Estimand name: backdoor4 (Default)\n",
      "Estimand expression:\n",
      "  d                                       \n",
      "─────(Expectation(y|W4,W2,W1,W3,W0,X1,X0))\n",
      "d[v₀]                                     \n",
      "Estimand assumption 1, Unconfoundedness: If U→{v0} and U→y then P(y|v0,W4,W2,W1,W3,W0,X1,X0,U) = P(y|v0,W4,W2,W1,W3,W0,X1,X0)\n",
      "\n",
      "### Estimand : 5\n",
      "Estimand name: iv\n",
      "Estimand expression:\n",
      "Expectation(Derivative(y, [Z2, Z1, Z0])*Derivative([v0], [Z2, Z1, Z0])**(-1))\n",
      "Estimand assumption 1, As-if-random: If U→→y then ¬(U →→{Z2,Z1,Z0})\n",
      "Estimand assumption 2, Exclusion: If we remove {Z2,Z1,Z0}→{v0}, then ¬({Z2,Z1,Z0}→y)\n",
      "\n",
      "### Estimand : 6\n",
      "Estimand name: frontdoor\n",
      "No such variable found!\n",
      "\n",
      "###################################################################################################################\n"
     ]
    }
   ],
   "source": [
    "estimand_count = 1\n",
    "for estimand in identified_estimands:\n",
    "    print(\"####### Identified Estimand {}#####################################################################################\".format(estimand_count))\n",
    "    print(estimand)\n",
    "    print(\"###################################################################################################################\")\n",
    "    estimand_count += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Estimate Effect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "/home/amit/py-envs/env3.8/lib/python3.8/site-packages/sklearn/utils/validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "/home/amit/py-envs/env3.8/lib/python3.8/site-packages/sklearn/utils/validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "The sklearn.utils.testing module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.utils. Anything that cannot be imported from sklearn.utils is now part of the private API.\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0464\n",
      "INFO:causalml:    RMSE (Treatment):     0.7089\n",
      "INFO:causalml:   sMAPE   (Control):     0.5415\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1450\n",
      "INFO:causalml:    Gini   (Control):     0.7392\n",
      "INFO:causalml:    Gini (Treatment):     0.9950\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "0   -1.124599  0.284335 -0.838580  1.223258 -0.089772 -0.633368 -1.372310   \n",
      "1   -0.612423  0.591947 -1.160895  1.779737 -1.083905  0.802709  0.713931   \n",
      "2   -1.743305 -0.181318 -0.966449 -0.290884 -1.344159 -0.451062 -0.384362   \n",
      "3   -2.330312  1.552707 -1.004874  1.042000  0.342380 -1.363540  1.515319   \n",
      "4   -1.345510  0.519826 -1.994744  0.479455 -0.128446 -0.829938  0.368875   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "995 -2.515948  0.660984 -1.169142 -2.272146 -1.210642 -0.284190 -0.127452   \n",
      "996 -2.943305  1.765768 -0.453093  1.811460  1.207236  1.056658  2.059214   \n",
      "997 -0.903931 -0.733567 -0.631920  2.074003 -1.104834 -0.227741 -0.262214   \n",
      "998 -0.107884  0.866378 -1.644002 -0.046340 -1.318515  0.888535  1.662692   \n",
      "999 -1.664178  0.364437 -0.018848  0.440983 -1.575637 -0.289049 -0.646924   \n",
      "\n",
      "           X0        X1  \n",
      "0   -1.372310 -0.633368  \n",
      "1    0.713931  0.802709  \n",
      "2   -0.384362 -0.451062  \n",
      "3    1.515319 -1.363540  \n",
      "4    0.368875 -0.829938  \n",
      "..        ...       ...  \n",
      "995 -0.127452 -0.284190  \n",
      "996  2.059214  1.056658  \n",
      "997 -0.262214 -0.227741  \n",
      "998  1.662692  0.888535  \n",
      "999 -0.646924 -0.289049  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 0       2.034000\n",
      "1      11.125450\n",
      "2      -9.777346\n",
      "3      10.343818\n",
      "4      -4.253140\n",
      "         ...    \n",
      "995   -13.283829\n",
      "996    17.211685\n",
      "997     4.590505\n",
      "998    13.321122\n",
      "999    -8.100697\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 0       True\n",
      "1       True\n",
      "2      False\n",
      "3       True\n",
      "4      False\n",
      "       ...  \n",
      "995    False\n",
      "996     True\n",
      "997     True\n",
      "998     True\n",
      "999    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    }
   ],
   "source": [
    "estimate_list = []\n",
    "for i in range(len(identified_estimands)):\n",
    "    for j in range(len(estimator_list)):\n",
    "        estimate = model.estimate_effect(\n",
    "                        identified_estimands[i],\n",
    "                        method_name=estimator_list[j],\n",
    "                        method_params=method_params[j]\n",
    "                  )\n",
    "        estimate_list.append(estimate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Estimate Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "####### Estimand 1#######################################################################################\n",
      "*** Class Name ***\n",
      "\n",
      "<class 'dowhy.causal_estimators.propensity_score_matching_estimator.PropensityScoreMatchingEstimator'>\n",
      "\n",
      "*** Causal Estimate ***\n",
      "\n",
      "## Identified estimand\n",
      "Estimand type: nonparametric-ate\n",
      "\n",
      "## Realized estimand\n",
      "b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "Target units: ate\n",
      "\n",
      "## Estimate\n",
      "Mean value: 12.89367255934708\n",
      "\n",
      "########################################################################################################\n",
      "\n",
      "####### Estimand 2#######################################################################################\n",
      "*** Class Name ***\n",
      "\n",
      "<class 'dowhy.causal_estimators.propensity_score_weighting_estimator.PropensityScoreWeightingEstimator'>\n",
      "\n",
      "*** Causal Estimate ***\n",
      "\n",
      "## Identified estimand\n",
      "Estimand type: nonparametric-ate\n",
      "\n",
      "## Realized estimand\n",
      "b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "Target units: ate\n",
      "\n",
      "## Estimate\n",
      "Mean value: 12.075122341243496\n",
      "\n",
      "########################################################################################################\n",
      "\n",
      "####### Estimand 3#######################################################################################\n",
      "*** Class Name ***\n",
      "\n",
      "<class 'dowhy.causal_estimators.causalml.Causalml'>\n",
      "\n",
      "*** Causal Estimate ***\n",
      "\n",
      "## Identified estimand\n",
      "Estimand type: nonparametric-ate\n",
      "\n",
      "## Realized estimand\n",
      "b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "Target units: ate\n",
      "\n",
      "## Estimate\n",
      "Mean value: [11.29290641]\n",
      "\n",
      "########################################################################################################\n",
      "\n"
     ]
    }
   ],
   "source": [
    "estimand_count = 1\n",
    "if inspect_estimates is True:\n",
    "    for estimand in estimate_list:\n",
    "        print(\"####### Estimand {}#######################################################################################\".format(estimand_count))\n",
    "        print(\"*** Class Name ***\")\n",
    "        print()\n",
    "        print(estimand.params['estimator_class'])\n",
    "        print()\n",
    "        print(estimand)\n",
    "        print(\"########################################################################################################\")\n",
    "        print()\n",
    "        estimand_count += 1\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Refute Estimate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_refuters.bootstrap_refuter:All variables required: Running bootstrap adding noise to confounders, instrumental variables and effect modifiers.\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:INFO: The chosen variables are: W4,W2,W1,W3,W0,X1,X0,Z2,Z1,Z0,X0,X1\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:Refutation over 100 simulated datasets of size 1000 each\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:Making use of Bootstrap as we have more than 100 examples.\n",
      "                 Note: The greater the number of examples, the more accurate are the confidence estimates\n",
      "INFO:dowhy.causal_refuters.data_subset_refuter:Refutation over 0.8 simulated datasets of size 800.0 each\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_refuters.data_subset_refuter:Making use of Bootstrap as we have more than 100 examples.\n",
      "                 Note: The greater the number of examples, the more accurate are the confidence estimates\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:All variables required: Running bootstrap adding noise to confounders, instrumental variables and effect modifiers.\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:INFO: The chosen variables are: W4,W2,W1,W3,W0,X1,X0,Z2,Z1,Z0,X0,X1\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:Refutation over 100 simulated datasets of size 1000 each\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:Making use of Bootstrap as we have more than 100 examples.\n",
      "                 Note: The greater the number of examples, the more accurate are the confidence estimates\n",
      "INFO:dowhy.causal_refuters.data_subset_refuter:Refutation over 0.8 simulated datasets of size 800.0 each\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "INFO:dowhy.causal_refuters.data_subset_refuter:Making use of Bootstrap as we have more than 100 examples.\n",
      "                 Note: The greater the number of examples, the more accurate are the confidence estimates\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:All variables required: Running bootstrap adding noise to confounders, instrumental variables and effect modifiers.\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:INFO: The chosen variables are: W4,W2,W1,W3,W0,X1,X0,Z2,Z1,Z0,X0,X1\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:Refutation over 100 simulated datasets of size 1000 each\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9200\n",
      "INFO:causalml:    RMSE (Treatment):     0.9412\n",
      "INFO:causalml:   sMAPE   (Control):     0.4925\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1825\n",
      "INFO:causalml:    Gini   (Control):     0.7570\n",
      "INFO:causalml:    Gini (Treatment):     0.9895\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "283 -2.374933  0.728965 -0.368648 -0.606642  1.295353 -1.524890  0.835089   \n",
      "817  0.427994  1.189968 -0.603155 -0.053104  0.380095 -0.564310  1.043702   \n",
      "433 -1.848292  1.925231 -0.746389  0.838242  0.454850 -1.782858  0.315274   \n",
      "518 -1.612950 -0.302839 -2.806152  2.278601  0.851459 -0.216496 -0.266022   \n",
      "760 -1.603621  0.332341  0.905154 -1.867772 -0.335681 -1.016100  0.900808   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "660 -1.355739  1.511612  0.382854 -1.674767  1.278216  0.055724  0.586001   \n",
      "983 -1.218331  1.260066 -0.595561 -0.288691  0.395709 -0.170658 -0.066706   \n",
      "98  -0.845113 -0.187431 -2.262896  1.378585 -0.644947  1.959020  0.299983   \n",
      "972 -0.081695  0.594733 -0.969979  1.791205  1.145891 -1.370514 -1.418567   \n",
      "923 -1.936169  2.043045 -0.395622  2.093163 -0.270379 -1.179542  1.467835   \n",
      "\n",
      "           X0        X1  \n",
      "283  0.835089 -1.524890  \n",
      "817  1.043702 -0.564310  \n",
      "433  0.315274 -1.782858  \n",
      "518 -0.266022 -0.216496  \n",
      "760  0.900808 -1.016100  \n",
      "..        ...       ...  \n",
      "660  0.586001  0.055724  \n",
      "983 -0.066706 -0.170658  \n",
      "98   0.299983  1.959020  \n",
      "972 -1.418567 -1.370514  \n",
      "923  1.467835 -1.179542  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 283     7.081134\n",
      "817    17.203287\n",
      "433     7.710126\n",
      "518    -0.840870\n",
      "760    -7.109575\n",
      "         ...    \n",
      "660    11.491007\n",
      "983     7.361146\n",
      "98     -3.658929\n",
      "972    10.333966\n",
      "923    11.892142\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 283     True\n",
      "817     True\n",
      "433     True\n",
      "518    False\n",
      "760    False\n",
      "       ...  \n",
      "660     True\n",
      "983     True\n",
      "98     False\n",
      "972     True\n",
      "923     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.8989\n",
      "INFO:causalml:    RMSE (Treatment):     0.9262\n",
      "INFO:causalml:   sMAPE   (Control):     0.5243\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1639\n",
      "INFO:causalml:    Gini   (Control):     0.7420\n",
      "INFO:causalml:    Gini (Treatment):     0.9882\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "583 -0.908339 -0.943344 -1.576363 -0.129984  0.644029 -0.283406  1.047899   \n",
      "894 -0.035766  0.592029 -2.679506  0.298057 -0.918355 -0.136446  1.547318   \n",
      "441  0.082396  1.734068 -1.234019 -1.393834 -0.012471  0.176847  2.271376   \n",
      "19  -0.501483 -0.141436 -0.783533  2.196045 -1.062579 -1.248909  0.217419   \n",
      "635 -0.328230  2.032342 -1.397294  1.604553 -0.906293  1.272577  1.348827   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "681 -0.659808  1.173054  0.680265 -1.119354  1.271902 -0.028103  1.906201   \n",
      "999 -1.548070  0.488709  0.070530  0.535239 -1.520216 -0.223398 -0.643285   \n",
      "601  0.197730 -0.348816 -2.289017  0.706303 -0.436227 -0.869317  0.393254   \n",
      "922 -0.957356  2.303012  1.357823 -2.150545 -0.526943  0.693399 -0.542549   \n",
      "85  -1.507585  1.395092 -0.629172 -0.127097 -1.095902 -2.763081 -0.159951   \n",
      "\n",
      "           X0        X1  \n",
      "583  1.047899 -0.283406  \n",
      "894  1.547318 -0.136446  \n",
      "441  2.271376  0.176847  \n",
      "19   0.217419 -1.248909  \n",
      "635  1.348827  1.272577  \n",
      "..        ...       ...  \n",
      "681  1.906201 -0.028103  \n",
      "999 -0.643285 -0.223398  \n",
      "601  0.393254 -0.869317  \n",
      "922 -0.542549  0.693399  \n",
      "85  -0.159951 -2.763081  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 583    -2.819370\n",
      "894    -2.776312\n",
      "441    18.248395\n",
      "19      6.700542\n",
      "635    15.613398\n",
      "         ...    \n",
      "681    18.090454\n",
      "999    -8.100697\n",
      "601    -1.707354\n",
      "922     5.614218\n",
      "85     -0.384362\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 583    False\n",
      "894    False\n",
      "441     True\n",
      "19      True\n",
      "635     True\n",
      "       ...  \n",
      "681     True\n",
      "999    False\n",
      "601    False\n",
      "922     True\n",
      "85      True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0143\n",
      "INFO:causalml:    RMSE (Treatment):     0.9978\n",
      "INFO:causalml:   sMAPE   (Control):     0.5401\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1764\n",
      "INFO:causalml:    Gini   (Control):     0.7350\n",
      "INFO:causalml:    Gini (Treatment):     0.9868\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "46  -0.811883  1.026880 -0.632654  0.186775 -1.837921  0.413697  1.853316   \n",
      "438 -1.340902  0.995483 -0.161424  0.746464 -0.289784 -0.655573  0.779645   \n",
      "658 -0.748875  0.200811 -2.089700  0.715665 -0.392931 -0.898996  0.666150   \n",
      "789 -1.509320 -0.240769  1.557885 -0.108347 -0.045226  0.412988  1.082957   \n",
      "702  1.732221  1.344143  0.218604 -0.185893  1.519994  0.269678  0.498933   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "351 -0.831764  0.623752 -0.471018  0.970281 -0.177779 -1.707145  0.027269   \n",
      "513 -0.705018  1.506675 -0.629371  2.376489  3.098338 -0.308193  0.523668   \n",
      "784 -1.254205  0.728475 -1.482794 -0.023014 -0.163497  2.000347  1.558882   \n",
      "631  0.369918  2.644170 -0.867136  1.586151 -0.202800 -0.997252  0.248708   \n",
      "469 -1.874152  0.163053  0.352744 -2.044516 -1.017211 -1.678673  1.633251   \n",
      "\n",
      "           X0        X1  \n",
      "46   1.853316  0.413697  \n",
      "438  0.779645 -0.655573  \n",
      "658  0.666150 -0.898996  \n",
      "789  1.082957  0.412988  \n",
      "702  0.498933  0.269678  \n",
      "..        ...       ...  \n",
      "351  0.027269 -1.707145  \n",
      "513  0.523668 -0.308193  \n",
      "784  1.558882  2.000347  \n",
      "631  0.248708 -0.997252  \n",
      "469  1.633251 -1.678673  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 46     -6.116730\n",
      "438     8.571639\n",
      "658     8.483868\n",
      "789    11.103887\n",
      "702    23.877017\n",
      "         ...    \n",
      "351     7.214058\n",
      "513    22.411994\n",
      "784    14.827481\n",
      "631    14.220450\n",
      "469     4.435916\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 46     False\n",
      "438     True\n",
      "658     True\n",
      "789     True\n",
      "702     True\n",
      "       ...  \n",
      "351     True\n",
      "513     True\n",
      "784     True\n",
      "631     True\n",
      "469     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
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     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.8926\n",
      "INFO:causalml:    RMSE (Treatment):     0.9835\n",
      "INFO:causalml:   sMAPE   (Control):     0.5059\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1802\n",
      "INFO:causalml:    Gini   (Control):     0.7225\n",
      "INFO:causalml:    Gini (Treatment):     0.9871\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "110 -1.701609  2.531055 -0.293499  1.383457 -0.385890  1.021554  0.634298   \n",
      "973  0.497997  0.870619 -1.399658  0.868762  1.005668 -1.759774 -1.487125   \n",
      "253  0.008862  0.472530 -0.278656  1.597479 -1.854917  0.218323  1.158774   \n",
      "774 -0.690558  0.152730  0.466841 -0.784936  0.262644 -1.272747  0.138279   \n",
      "25  -0.555348  1.680622 -0.274376  0.085447 -1.937412 -0.524363  1.456005   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "433 -1.759517  1.932299 -0.786689  0.690382  0.385271 -1.815584  0.191754   \n",
      "517 -1.412816  0.065002  0.010819  1.228889 -1.019312 -0.737759  1.051565   \n",
      "241 -0.690211  2.358994 -0.801637  1.877993  0.244108 -2.726661 -0.526157   \n",
      "840  0.825515  0.764723  0.303671  0.981057 -0.217922 -0.091909  0.598068   \n",
      "808 -0.535757  0.997121 -0.516028 -0.574787  0.787579 -1.200082  1.220149   \n",
      "\n",
      "           X0        X1  \n",
      "110  0.634298  1.021554  \n",
      "973 -1.487125 -1.759774  \n",
      "253  1.158774  0.218323  \n",
      "774  0.138279 -1.272747  \n",
      "25   1.456005 -0.524363  \n",
      "..        ...       ...  \n",
      "433  0.191754 -1.815584  \n",
      "517  1.051565 -0.737759  \n",
      "241 -0.526157 -2.726661  \n",
      "840  0.598068 -0.091909  \n",
      "808  1.220149 -1.200082  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 110    11.934711\n",
      "973     8.500263\n",
      "253    11.727481\n",
      "774     6.080336\n",
      "25      8.623876\n",
      "         ...    \n",
      "433     7.710126\n",
      "517    -4.981074\n",
      "241     7.793042\n",
      "840    15.748095\n",
      "808    14.588358\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 110     True\n",
      "973     True\n",
      "253     True\n",
      "774     True\n",
      "25      True\n",
      "       ...  \n",
      "433     True\n",
      "517    False\n",
      "241     True\n",
      "840     True\n",
      "808     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "553 -0.320702  2.050546  0.848221  0.065701  0.516036 -0.115430 -0.448765   \n",
      "263 -0.436130  1.311757  0.801788  0.976110 -1.434723  1.339524 -0.740828   \n",
      "318 -0.323014 -0.607556 -0.157762  0.004904  1.536271 -0.407724 -0.367022   \n",
      "106 -1.558304  1.265530  0.118377 -0.333680 -1.996853 -1.773391  1.138244   \n",
      "926  1.123598  0.627467 -0.761817  1.094964 -0.861427 -0.395120  0.162772   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "354 -2.470658  2.299726 -0.513947 -0.533862  1.235853  0.471081  0.403984   \n",
      "665 -2.051712  0.111099 -0.161581 -0.859187  0.133294 -0.468604 -0.057014   \n",
      "43  -0.942660  1.261453  0.077870  0.553020 -1.012981 -0.392755  1.398809   \n",
      "805 -2.534599 -0.173973 -0.855050 -0.359868  0.531906 -2.824743  0.317926   \n",
      "873 -0.107712 -0.360830  0.754699  0.645171 -1.063732 -2.205695  0.040772   \n",
      "\n",
      "           X0        X1  \n",
      "553 -0.448765 -0.115430  \n",
      "263 -0.740828  1.339524  \n",
      "318 -0.367022 -0.407724  \n",
      "106  1.138244 -1.773391  \n",
      "926  0.162772 -0.395120  \n",
      "..        ...       ...  \n",
      "354  0.403984  0.471081  \n",
      "665 -0.057014 -0.468604  \n",
      "43   1.398809 -0.392755  \n",
      "805  0.317926 -2.824743  \n",
      "873  0.040772 -2.205695  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 553    11.754777\n",
      "263     5.315574\n",
      "318    10.068543\n",
      "106    -8.631314\n",
      "926    13.032000\n",
      "         ...    \n",
      "354     9.572774\n",
      "665     2.331887\n",
      "43     11.590880\n",
      "805    -0.721618\n",
      "873     4.499265\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 553     True\n",
      "263     True\n",
      "318     True\n",
      "106    False\n",
      "926     True\n",
      "       ...  \n",
      "354     True\n",
      "665     True\n",
      "43      True\n",
      "805     True\n",
      "873     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1093\n",
      "INFO:causalml:    RMSE (Treatment):     1.0340\n",
      "INFO:causalml:   sMAPE   (Control):     0.5506\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1787\n",
      "INFO:causalml:    Gini   (Control):     0.7321\n",
      "INFO:causalml:    Gini (Treatment):     0.9865\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9188\n",
      "INFO:causalml:    RMSE (Treatment):     0.9924\n",
      "INFO:causalml:   sMAPE   (Control):     0.5366\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1953\n",
      "INFO:causalml:    Gini   (Control):     0.7756\n",
      "INFO:causalml:    Gini (Treatment):     0.9901\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "615 -1.406038  0.572876 -0.698405  1.326372 -2.542542 -1.169138  2.178432   \n",
      "124 -1.122468  2.232510  0.453520  0.286994  0.573583 -0.104966 -0.616633   \n",
      "671 -1.835079  1.952091  0.539765  0.587736 -1.553163 -0.139247 -0.565739   \n",
      "354 -2.414675  2.195083 -0.552665 -0.286460  1.364807  0.672503  0.211691   \n",
      "971 -1.008125  0.813609 -1.174516  0.831382  0.600010  1.860670  1.222419   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "140 -0.076572 -0.183218 -1.087970  1.721934 -1.409678  0.371262  0.084339   \n",
      "441  0.164827  1.727422 -1.133955 -1.106994 -0.174687  0.462557  2.301826   \n",
      "944 -1.317575  1.334951  0.214215 -0.090740  0.344393 -1.939722  0.185537   \n",
      "504 -1.936715  2.198026  0.936412 -0.674665 -1.200826 -0.802310  0.450366   \n",
      "579 -0.367602  0.368260  0.366198  0.370464 -1.268264 -1.013708 -0.296588   \n",
      "\n",
      "           X0        X1  \n",
      "615  2.178432 -1.169138  \n",
      "124 -0.616633 -0.104966  \n",
      "671 -0.565739 -0.139247  \n",
      "354  0.211691  0.672503  \n",
      "971  1.222419  1.860670  \n",
      "..        ...       ...  \n",
      "140  0.084339  0.371262  \n",
      "441  2.301826  0.462557  \n",
      "944  0.185537 -1.939722  \n",
      "504  0.450366 -0.802310  \n",
      "579 -0.296588 -1.013708  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 615    -8.516564\n",
      "124    10.147994\n",
      "671    -6.150284\n",
      "354     9.572774\n",
      "971    16.046613\n",
      "         ...    \n",
      "140    -3.623800\n",
      "441    18.248395\n",
      "944     5.893961\n",
      "504     4.307409\n",
      "579     3.518524\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 615    False\n",
      "124     True\n",
      "671    False\n",
      "354     True\n",
      "971     True\n",
      "       ...  \n",
      "140    False\n",
      "441     True\n",
      "944     True\n",
      "504     True\n",
      "579     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1321\n",
      "INFO:causalml:    RMSE (Treatment):     0.9716\n",
      "INFO:causalml:   sMAPE   (Control):     0.5822\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1791\n",
      "INFO:causalml:    Gini   (Control):     0.6922\n",
      "INFO:causalml:    Gini (Treatment):     0.9885\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "483 -1.202986  0.901468 -0.302848  0.668258 -1.940498  0.222960  0.612932   \n",
      "778 -2.032255 -0.391939  0.024425  0.116800  0.320421 -1.642899  0.789443   \n",
      "364 -1.123898  1.426482  1.582027 -0.519401 -1.549683 -0.385146  0.951193   \n",
      "437 -1.765053  2.519452  0.710983  0.111217 -1.534482 -1.368957 -0.086755   \n",
      "518 -1.577778 -0.426756 -2.600338  2.425733  0.913174  0.100396 -0.440147   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "414 -0.773099  0.363187 -2.923567  0.521046 -1.501182 -1.106220  2.408646   \n",
      "419 -0.132182 -0.589329  0.304130  0.361943 -0.778306  1.341490  0.877095   \n",
      "971 -1.156021  0.689227 -1.100481  1.059006  0.528747  1.847563  1.274255   \n",
      "855 -1.604108  2.748376  0.301092 -0.817147 -0.256705 -0.736611  0.902897   \n",
      "971 -1.047919  0.711559 -1.179255  1.142261  0.330883  1.845635  1.100617   \n",
      "\n",
      "           X0        X1  \n",
      "483  0.612932  0.222960  \n",
      "778  0.789443 -1.642899  \n",
      "364  0.951193 -0.385146  \n",
      "437 -0.086755 -1.368957  \n",
      "518 -0.440147  0.100396  \n",
      "..        ...       ...  \n",
      "414  2.408646 -1.106220  \n",
      "419  0.877095  1.341490  \n",
      "971  1.274255  1.847563  \n",
      "855  0.902897 -0.736611  \n",
      "971  1.100617  1.845635  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 483     5.198246\n",
      "778     6.019405\n",
      "364     7.693260\n",
      "437     1.751543\n",
      "518    -0.840870\n",
      "         ...    \n",
      "414    -6.908901\n",
      "419    12.060932\n",
      "971    16.046613\n",
      "855     8.939223\n",
      "971    16.046613\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 483     True\n",
      "778     True\n",
      "364     True\n",
      "437     True\n",
      "518    False\n",
      "       ...  \n",
      "414    False\n",
      "419     True\n",
      "971     True\n",
      "855     True\n",
      "971     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9750\n",
      "INFO:causalml:    RMSE (Treatment):     0.9816\n",
      "INFO:causalml:   sMAPE   (Control):     0.4629\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1647\n",
      "INFO:causalml:    Gini   (Control):     0.7145\n",
      "INFO:causalml:    Gini (Treatment):     0.9878\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "257 -2.430668  2.899099 -1.685012  0.871124 -0.830481  0.568640 -0.719302   \n",
      "190 -1.027333  0.125718 -0.288925  0.143558 -1.665370 -1.891319  1.401234   \n",
      "608  0.582419  2.904835 -1.679491 -1.433618  0.523356  1.427560 -0.365038   \n",
      "136 -1.844962 -0.175424 -1.127409  1.046034 -0.143139  0.929437 -0.113900   \n",
      "698 -1.136466  1.658704  0.342969  1.270983 -1.275504  0.318959  0.063527   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "2   -1.717141 -0.110696 -0.851043 -0.159615 -1.330690 -0.575017  0.179750   \n",
      "525 -1.122974  0.528479 -0.843057  0.862124  0.326137 -0.908267  0.675998   \n",
      "818 -2.224628  1.267784 -0.121270  0.339637 -2.509032 -0.733553  0.969607   \n",
      "772 -1.528754  0.577981 -1.230741  1.515439 -0.409506 -1.244127 -0.229884   \n",
      "725 -1.062839  1.197021 -2.332341  1.110674 -0.732020  1.117293 -1.286959   \n",
      "\n",
      "           X0        X1  \n",
      "257 -0.719302  0.568640  \n",
      "190  1.401234 -1.891319  \n",
      "608 -0.365038  1.427560  \n",
      "136 -0.113900  0.929437  \n",
      "698  0.063527  0.318959  \n",
      "..        ...       ...  \n",
      "2    0.179750 -0.575017  \n",
      "525  0.675998 -0.908267  \n",
      "818  0.969607 -0.733553  \n",
      "772 -0.229884 -1.244127  \n",
      "725 -1.286959  1.117293  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 257     2.568588\n",
      "190     3.713965\n",
      "608    13.248344\n",
      "136    -4.977571\n",
      "698     7.381116\n",
      "         ...    \n",
      "2      -9.777346\n",
      "525     9.406466\n",
      "818   -11.770683\n",
      "772     3.250030\n",
      "725    -3.118501\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 257     True\n",
      "190     True\n",
      "608     True\n",
      "136    False\n",
      "698     True\n",
      "       ...  \n",
      "2      False\n",
      "525     True\n",
      "818    False\n",
      "772     True\n",
      "725    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0590\n",
      "INFO:causalml:    RMSE (Treatment):     1.0471\n",
      "INFO:causalml:   sMAPE   (Control):     0.5733\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1911\n",
      "INFO:causalml:    Gini   (Control):     0.7229\n",
      "INFO:causalml:    Gini (Treatment):     0.9862\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "277 -0.818334  0.467892  0.008818 -0.768910 -0.762255 -2.037111 -0.267297   \n",
      "616 -1.801324  0.465489  1.310050  0.431569 -0.724100  0.078453 -0.281507   \n",
      "251 -2.045885 -0.672299  0.461639  1.102677 -0.212650 -0.728915  0.412898   \n",
      "779 -1.293648  0.585981  0.057450  0.159790  0.220197 -0.968476 -0.039945   \n",
      "891 -0.173672 -0.339079 -1.162503  1.699004  1.016864  0.402539  1.951243   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "220  0.682316  1.258320 -0.491097  0.533450 -1.171028 -1.744354  0.764456   \n",
      "880 -1.819713  1.795421  2.289274 -0.412771  0.834959 -0.625579  0.310392   \n",
      "600 -2.029851  0.999468 -0.650238  0.199650 -1.522578 -0.197616 -0.487230   \n",
      "85  -1.689351  1.444803 -0.346028 -0.249449 -0.882348 -2.851097 -0.324837   \n",
      "982 -0.727784  0.731025 -0.402121 -0.987436  0.733502 -1.450469  1.225178   \n",
      "\n",
      "           X0        X1  \n",
      "277 -0.267297 -2.037111  \n",
      "616 -0.281507  0.078453  \n",
      "251  0.412898 -0.728915  \n",
      "779 -0.039945 -0.968476  \n",
      "891  1.951243  0.402539  \n",
      "..        ...       ...  \n",
      "220  0.764456 -1.744354  \n",
      "880  0.310392 -0.625579  \n",
      "600 -0.487230 -0.197616  \n",
      "85  -0.324837 -2.851097  \n",
      "982  1.225178 -1.450469  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 277     1.863805\n",
      "616     4.604313\n",
      "251     5.436045\n",
      "779     7.001850\n",
      "891    20.166272\n",
      "         ...    \n",
      "220    10.878908\n",
      "880    10.445032\n",
      "600    -2.038553\n",
      "85     -0.384362\n",
      "982    12.003112\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 277    True\n",
      "616    True\n",
      "251    True\n",
      "779    True\n",
      "891    True\n",
      "       ... \n",
      "220    True\n",
      "880    True\n",
      "600    True\n",
      "85     True\n",
      "982    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.6412\n",
      "INFO:causalml:    RMSE (Treatment):     0.8491\n",
      "INFO:causalml:   sMAPE   (Control):     0.4837\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1494\n",
      "INFO:causalml:    Gini   (Control):     0.7786\n",
      "INFO:causalml:    Gini (Treatment):     0.9905\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "241 -0.845996  2.158548 -0.696759  1.834804  0.107037 -2.852733 -0.048085   \n",
      "896 -2.469059 -0.770860  1.142546  0.461676 -1.314687 -0.322351 -1.475853   \n",
      "723 -0.193634  1.302947  0.686441  0.892449 -0.623708 -0.382725  0.546637   \n",
      "758 -0.229260  0.153205 -0.797357  0.977691 -0.149110 -1.096648  1.138511   \n",
      "649 -2.097121  1.286213 -0.793670  1.771977 -0.505928 -0.172366  1.686361   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "177 -1.890133  0.349791  2.039631  0.747699  0.029708 -1.310446  2.620265   \n",
      "265 -0.579746  2.246286  0.968432 -1.288886 -0.003273 -0.503409  0.023601   \n",
      "786  1.367241  2.337107 -1.382961  0.925568 -1.373163 -0.581355 -1.057320   \n",
      "563 -0.487488 -0.303342 -2.960748  1.385569 -1.367310  1.270372  0.489614   \n",
      "145 -2.808225  1.476268 -0.669289  0.837867  0.318861  0.101554 -0.005306   \n",
      "\n",
      "           X0        X1  \n",
      "241 -0.048085 -2.852733  \n",
      "896 -1.475853 -0.322351  \n",
      "723  0.546637 -0.382725  \n",
      "758  1.138511 -1.096648  \n",
      "649  1.686361 -0.172366  \n",
      "..        ...       ...  \n",
      "177  2.620265 -1.310446  \n",
      "265  0.023601 -0.503409  \n",
      "786 -1.057320 -0.581355  \n",
      "563  0.489614  1.270372  \n",
      "145 -0.005306  0.101554  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 241     7.793042\n",
      "896    -7.004058\n",
      "723    12.592456\n",
      "758    12.802985\n",
      "649    11.515556\n",
      "         ...    \n",
      "177    13.887378\n",
      "265     9.003069\n",
      "786     8.954078\n",
      "563    -5.142521\n",
      "145    -4.715614\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 241     True\n",
      "896     True\n",
      "723     True\n",
      "758     True\n",
      "649     True\n",
      "       ...  \n",
      "177     True\n",
      "265     True\n",
      "786     True\n",
      "563    False\n",
      "145    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9464\n",
      "INFO:causalml:    RMSE (Treatment):     0.9755\n",
      "INFO:causalml:   sMAPE   (Control):     0.4851\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1754\n",
      "INFO:causalml:    Gini   (Control):     0.7484\n",
      "INFO:causalml:    Gini (Treatment):     0.9879\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "303 -1.782573  1.161716 -0.132032  1.247322  0.906861 -0.589598  0.566135   \n",
      "928 -0.082647 -0.854352 -0.877404  0.258306 -0.690152  0.621097 -1.202361   \n",
      "188  1.870551  1.402824 -0.641787  0.898412 -0.955153  0.086009  0.396813   \n",
      "7    0.134461  1.635799 -1.651504  0.903543 -1.832069 -0.771336  1.027382   \n",
      "536 -1.413058  0.331189 -0.549325 -0.161507 -0.050805  1.085822 -1.137920   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "498  1.018865  1.167549  0.300948  0.499916  0.024608 -0.209970  0.662375   \n",
      "42   0.685643  0.464868 -0.530367  1.008595  1.087561  0.792421  0.560773   \n",
      "540 -1.459292  1.994080 -0.337395  0.007646  2.188399  0.628455  1.352454   \n",
      "83  -0.635356 -0.756915  0.860081  0.351036 -0.501081 -0.642911 -0.373147   \n",
      "781 -0.997105  1.206782 -0.466358 -0.047794 -0.294843 -1.540877  0.881991   \n",
      "\n",
      "           X0        X1  \n",
      "303  0.566135 -0.589598  \n",
      "928 -1.202361  0.621097  \n",
      "188  0.396813  0.086009  \n",
      "7    1.027382 -0.771336  \n",
      "536 -1.137920  1.085822  \n",
      "..        ...       ...  \n",
      "498  0.662375 -0.209970  \n",
      "42   0.560773  0.792421  \n",
      "540  1.352454  0.628455  \n",
      "83  -0.373147 -0.642911  \n",
      "781  0.881991 -1.540877  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 303    11.687300\n",
      "928     3.466874\n",
      "188    17.138200\n",
      "7      -2.646268\n",
      "536     3.123954\n",
      "         ...    \n",
      "498    17.581110\n",
      "42     19.574715\n",
      "540    19.517995\n",
      "83      5.781616\n",
      "781     8.454186\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 303     True\n",
      "928     True\n",
      "188     True\n",
      "7      False\n",
      "536     True\n",
      "       ...  \n",
      "498     True\n",
      "42      True\n",
      "540     True\n",
      "83      True\n",
      "781     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9429\n",
      "INFO:causalml:    RMSE (Treatment):     0.9998\n",
      "INFO:causalml:   sMAPE   (Control):     0.5267\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1899\n",
      "INFO:causalml:    Gini   (Control):     0.7351\n",
      "INFO:causalml:    Gini (Treatment):     0.9890\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "955 -0.497739  0.540374 -1.677981  1.349484  2.091278 -1.039961  1.206380   \n",
      "435 -1.256109  1.764761 -0.149741  0.355327 -0.774481  0.614483  1.777844   \n",
      "354 -2.424064  2.357013 -0.394928 -0.458982  1.377004  0.445340  0.305403   \n",
      "251 -1.935402 -0.583126  0.125224  1.325398 -0.135370 -0.313797  0.341698   \n",
      "479 -2.307127  0.566961 -0.554632 -0.132100 -2.127523  0.432313 -0.415788   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "32  -0.982458  0.620985  0.106409 -0.629536 -1.279116  0.532026  0.410600   \n",
      "233  0.083363  1.012340 -0.976858  0.790091  0.179734 -1.685756  3.030718   \n",
      "26  -0.078329  0.136605  0.222189  2.949437 -0.460346 -1.743903  1.989701   \n",
      "379 -2.647414  2.197177 -0.438679 -0.673437  0.049419 -1.671370  0.620090   \n",
      "845 -1.097083 -0.445490 -1.364601  0.971446 -1.841247  0.187582 -0.453287   \n",
      "\n",
      "           X0        X1  \n",
      "955  1.206380 -1.039961  \n",
      "435  1.777844  0.614483  \n",
      "354  0.305403  0.445340  \n",
      "251  0.341698 -0.313797  \n",
      "479 -0.415788  0.432313  \n",
      "..        ...       ...  \n",
      "32   0.410600  0.532026  \n",
      "233  3.030718 -1.685756  \n",
      "26   1.989701 -1.743903  \n",
      "379  0.620090 -1.671370  \n",
      "845 -0.453287  0.187582  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 955    18.503792\n",
      "435    13.857254\n",
      "354     9.572774\n",
      "251     5.436045\n",
      "479    -4.199785\n",
      "         ...    \n",
      "32     -5.941016\n",
      "233    21.285516\n",
      "26     17.468518\n",
      "379    -6.731177\n",
      "845    -8.309502\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 955     True\n",
      "435     True\n",
      "354     True\n",
      "251     True\n",
      "479     True\n",
      "       ...  \n",
      "32     False\n",
      "233     True\n",
      "26      True\n",
      "379    False\n",
      "845    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9546\n",
      "INFO:causalml:    RMSE (Treatment):     0.8873\n",
      "INFO:causalml:   sMAPE   (Control):     0.5285\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1608\n",
      "INFO:causalml:    Gini   (Control):     0.7781\n",
      "INFO:causalml:    Gini (Treatment):     0.9905\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "137 -1.870239  1.002550 -1.280447  0.096607 -1.693014 -0.218161 -0.988356   \n",
      "265 -0.513343  2.114772  0.996179 -1.443963 -0.114143 -0.406941 -0.045786   \n",
      "777 -0.493441  1.716078  0.792791 -0.043363 -0.556987 -1.268526  1.451878   \n",
      "5    0.081454 -0.180901 -0.354700 -1.459105  0.296656 -0.759733 -0.701632   \n",
      "487 -1.420850  0.398972  1.112433 -0.228356  0.349759 -1.154691 -0.299466   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "467 -1.547984  1.672450  0.493790 -0.006961  1.256418  0.077298  0.376628   \n",
      "118 -1.453238  0.945857  0.236851 -0.637282 -0.686940  0.717364  0.140900   \n",
      "866 -2.650644 -0.029222 -0.964702 -0.443857  0.949448  0.071478  0.590612   \n",
      "776 -2.793850 -0.766315 -0.437998  0.125062 -1.087616  0.492760  1.852926   \n",
      "454 -0.520798  0.402434 -0.807018  0.681877 -1.949777  0.007282  2.327974   \n",
      "\n",
      "           X0        X1  \n",
      "137 -0.988356 -0.218161  \n",
      "265 -0.045786 -0.406941  \n",
      "777  1.451878 -1.268526  \n",
      "5   -0.701632 -0.759733  \n",
      "487 -0.299466 -1.154691  \n",
      "..        ...       ...  \n",
      "467  0.376628  0.077298  \n",
      "118  0.140900  0.717364  \n",
      "866  0.590612  0.071478  \n",
      "776  1.852926  0.492760  \n",
      "454  2.327974  0.007282  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 137    -9.707122\n",
      "265     9.003069\n",
      "777    12.450890\n",
      "5       4.741680\n",
      "487     5.416248\n",
      "         ...    \n",
      "467    12.156180\n",
      "118     6.682644\n",
      "866     6.414822\n",
      "776   -12.340879\n",
      "454    12.121477\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 137    False\n",
      "265     True\n",
      "777     True\n",
      "5       True\n",
      "487     True\n",
      "       ...  \n",
      "467     True\n",
      "118     True\n",
      "866     True\n",
      "776    False\n",
      "454     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0762\n",
      "INFO:causalml:    RMSE (Treatment):     0.9945\n",
      "INFO:causalml:   sMAPE   (Control):     0.5339\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1711\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "829 -1.405635 -0.270187 -1.959880 -0.889368 -1.212302 -1.298171 -0.443938   \n",
      "201 -2.536105  0.014067 -1.257571  0.682911 -1.447216 -1.100839  1.130308   \n",
      "561 -0.529711 -0.174353 -0.254554  0.894866 -2.286815  0.253255  1.165439   \n",
      "370 -1.243201  0.578033 -1.039329  0.953519 -1.614025 -0.207823  0.878261   \n",
      "921 -0.681534  0.706844 -0.752564  0.023439  0.770400 -0.849537  1.956007   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "47   0.236697  1.161300 -1.267837 -1.410815 -0.159012 -1.005670  1.316541   \n",
      "526  1.648612  0.824729 -0.062684  0.566424  0.909295 -0.692820  0.337959   \n",
      "67  -0.705354  0.116565 -0.145444  1.079454 -0.611558 -2.607392 -1.660696   \n",
      "637 -1.335351  0.667491 -0.005216 -1.587485 -2.347921 -1.555458  1.082437   \n",
      "96   1.179559  0.881080 -0.248690  0.957809 -1.554978 -1.030593  1.149389   \n",
      "\n",
      "           X0        X1  \n",
      "829 -0.443938 -1.298171  \n",
      "201  1.130308 -1.100839  \n",
      "561  1.165439  0.253255  \n",
      "370  0.878261 -0.207823  \n",
      "921  1.956007 -0.849537  \n",
      "..        ...       ...  \n",
      "47   1.316541 -1.005670  \n",
      "526  0.337959 -0.692820  \n",
      "67  -1.660696 -2.607392  \n",
      "637  1.082437 -1.555458  \n",
      "96   1.149389 -1.030593  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 829    -9.531238\n",
      "201   -10.714346\n",
      "561     8.271140\n",
      "370     6.533270\n",
      "921     0.366548\n",
      "         ...    \n",
      "47     11.849394\n",
      "526    20.291162\n",
      "67     -0.972001\n",
      "637   -10.850731\n",
      "96     14.140134\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 829    False\n",
      "201    False\n",
      "561     True\n",
      "370     True\n",
      "921    False\n",
      "       ...  \n",
      "47      True\n",
      "526     True\n",
      "67      True\n",
      "637    False\n",
      "96      True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini   (Control):     0.7658\n",
      "INFO:causalml:    Gini (Treatment):     0.9872\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0254\n",
      "INFO:causalml:    RMSE (Treatment):     0.9947\n",
      "INFO:causalml:   sMAPE   (Control):     0.5244\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1842\n",
      "INFO:causalml:    Gini   (Control):     0.6910\n",
      "INFO:causalml:    Gini (Treatment):     0.9870\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "461 -1.460257 -2.060113  0.196816  0.509257 -0.190118  0.640799  1.125688   \n",
      "27  -0.764321  0.661496 -1.554778 -0.379143 -0.596560 -1.612376  0.853551   \n",
      "546 -2.764439  0.366811  0.121471  0.269416 -1.306595 -0.411430  1.901790   \n",
      "222 -0.935723  1.269480  0.057024 -2.368038 -0.694916 -0.264277  1.826955   \n",
      "936 -0.594141 -0.764907 -0.392504 -0.899154 -1.017892 -2.733821  1.305824   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "353  0.015998  0.982657 -0.392354 -0.194599 -1.400468  0.281264  2.355602   \n",
      "366 -1.330955  1.319725  1.896027 -0.476799  1.671268  1.552792  0.045233   \n",
      "930  0.223896  0.462045 -0.598557 -0.386784  0.146834  1.176468 -0.409971   \n",
      "20  -0.912271  1.216225 -0.653480  1.130985 -0.866986  0.547937  1.677859   \n",
      "517 -1.362621 -0.010860 -0.360578  1.211214 -0.976836 -1.004424  1.073958   \n",
      "\n",
      "           X0        X1  \n",
      "461  1.125688  0.640799  \n",
      "27   0.853551 -1.612376  \n",
      "546  1.901790 -0.411430  \n",
      "222  1.826955 -0.264277  \n",
      "936  1.305824 -2.733821  \n",
      "..        ...       ...  \n",
      "353  2.355602  0.281264  \n",
      "366  0.045233  1.552792  \n",
      "930 -0.409971  1.176468  \n",
      "20   1.677859  0.547937  \n",
      "517  1.073958 -1.004424  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 461    -6.434741\n",
      "27     -3.423349\n",
      "546   -11.053337\n",
      "222     9.575547\n",
      "936     4.998172\n",
      "         ...    \n",
      "353    16.031327\n",
      "366    13.879918\n",
      "930    10.114187\n",
      "20     14.509975\n",
      "517    -4.981074\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 461    False\n",
      "27     False\n",
      "546    False\n",
      "222     True\n",
      "936     True\n",
      "       ...  \n",
      "353     True\n",
      "366     True\n",
      "930     True\n",
      "20      True\n",
      "517    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1047\n",
      "INFO:causalml:    RMSE (Treatment):     1.0173\n",
      "INFO:causalml:   sMAPE   (Control):     0.5298\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1928\n",
      "INFO:causalml:    Gini   (Control):     0.7360\n",
      "INFO:causalml:    Gini (Treatment):     0.9868\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "879 -1.256963  2.610828  0.183906 -0.127617 -1.530665  0.406917 -0.949262   \n",
      "507 -1.625075 -0.163592 -1.552466  0.974451 -1.413166 -2.116304  0.715120   \n",
      "5    0.117539 -0.237488 -0.331980 -1.762631  0.041748 -0.904643 -0.577618   \n",
      "503 -1.927225  2.080508 -1.491481  0.302042  0.310731 -0.307241  1.247553   \n",
      "398 -0.421897  1.548984 -1.098997  0.506289 -1.730921 -1.446963  0.408468   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "27  -0.754819  0.708271 -1.279052 -0.231437 -0.561031 -1.538710  1.170755   \n",
      "772 -1.641683  0.455094 -1.104356  1.465097 -0.395100 -1.410726 -0.320576   \n",
      "509  0.454215  0.351701 -0.295182  0.429296  0.286542 -1.281868 -0.422850   \n",
      "643 -0.714246  2.659219 -1.015225  1.523564 -3.134931  1.156423  1.157304   \n",
      "998 -0.208078  0.901069 -1.635665 -0.081512 -1.318741  0.756215  1.485413   \n",
      "\n",
      "           X0        X1  \n",
      "879 -0.949262  0.406917  \n",
      "507  0.715120 -2.116304  \n",
      "5   -0.577618 -0.904643  \n",
      "503  1.247553 -0.307241  \n",
      "398  0.408468 -1.446963  \n",
      "..        ...       ...  \n",
      "27   1.170755 -1.538710  \n",
      "772 -0.320576 -1.410726  \n",
      "509 -0.422850 -1.281868  \n",
      "643  1.157304  1.156423  \n",
      "998  1.485413  0.756215  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 879     2.556286\n",
      "507    -8.258449\n",
      "5       4.741680\n",
      "503    -3.163402\n",
      "398    -5.105764\n",
      "         ...    \n",
      "27     -3.423349\n",
      "772     3.250030\n",
      "509    10.361696\n",
      "643     9.118838\n",
      "998    13.321122\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 879     True\n",
      "507    False\n",
      "5       True\n",
      "503    False\n",
      "398    False\n",
      "       ...  \n",
      "27     False\n",
      "772     True\n",
      "509     True\n",
      "643     True\n",
      "998     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0923\n",
      "INFO:causalml:    RMSE (Treatment):     0.8748\n",
      "INFO:causalml:   sMAPE   (Control):     0.5358\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1645\n",
      "INFO:causalml:    Gini   (Control):     0.6935\n",
      "INFO:causalml:    Gini (Treatment):     0.9895\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "182 -0.858135  0.548027  0.570832  1.543022 -2.357673  1.666628  2.422103   \n",
      "581 -0.420050  2.640835 -1.237284 -0.816649 -1.431552 -1.135704  1.275244   \n",
      "381  0.220628  0.129095 -0.082455 -0.835143 -1.065214 -0.080231 -1.145132   \n",
      "877 -0.263394  0.773930 -0.167360 -1.809891  1.394062  1.191594  0.087068   \n",
      "123 -0.820337  1.260770 -0.463931  1.269620 -2.509042  1.125975 -1.084071   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "413 -0.352489  1.333771 -2.830226 -0.970291 -2.868858 -0.818934  0.160747   \n",
      "725 -1.069626  1.185964 -2.415549  0.944403 -0.280930  1.234655 -1.314084   \n",
      "300 -1.442654  0.561198 -0.598452  1.170720 -1.425032 -0.104172  2.707997   \n",
      "533 -1.916023  2.135901 -0.882891 -0.073193 -2.437310 -1.498964 -0.956094   \n",
      "746  0.635679  0.256677 -0.002004 -0.305042  0.331563  0.584977 -0.708696   \n",
      "\n",
      "           X0        X1  \n",
      "182  2.422103  1.666628  \n",
      "581  1.275244 -1.135704  \n",
      "381 -1.145132 -0.080231  \n",
      "877  0.087068  1.191594  \n",
      "123 -1.084071  1.125975  \n",
      "..        ...       ...  \n",
      "413  0.160747 -0.818934  \n",
      "725 -1.314084  1.234655  \n",
      "300  2.707997 -0.104172  \n",
      "533 -0.956094 -1.498964  \n",
      "746 -0.708696  0.584977  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 182    15.277732\n",
      "581    10.512753\n",
      "381     2.059536\n",
      "877    12.698322\n",
      "123     1.168663\n",
      "         ...    \n",
      "413   -10.466301\n",
      "725    -3.118501\n",
      "300    13.493938\n",
      "533    -6.739186\n",
      "746    10.903542\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 182     True\n",
      "581     True\n",
      "381     True\n",
      "877     True\n",
      "123     True\n",
      "       ...  \n",
      "413    False\n",
      "725    False\n",
      "300     True\n",
      "533     True\n",
      "746     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0416\n",
      "INFO:causalml:    RMSE (Treatment):     1.0407\n",
      "INFO:causalml:   sMAPE   (Control):     0.5279\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1668\n",
      "INFO:causalml:    Gini   (Control):     0.6798\n",
      "INFO:causalml:    Gini (Treatment):     0.9840\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9505\n",
      "INFO:causalml:    RMSE (Treatment):     0.9570\n",
      "INFO:causalml:   sMAPE   (Control):     0.5073\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1837\n",
      "INFO:causalml:    Gini   (Control):     0.7110\n",
      "INFO:causalml:    Gini (Treatment):     0.9879\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "521 -1.064810  2.125579 -2.096933  0.238321 -1.922263 -0.778079 -0.661939   \n",
      "277 -0.958657  0.357395  0.086754 -0.898277 -0.734021 -1.876077 -0.094653   \n",
      "161 -2.661257  1.594218 -1.232403 -1.302777 -1.473713  1.516190  2.922502   \n",
      "708 -0.420950  1.218293  0.079718 -0.321749 -0.314454 -1.630925  1.536317   \n",
      "810 -0.607251  0.596658  0.352069  0.448846 -0.316254 -0.086533 -0.948286   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "549  1.102751  0.590279 -1.566217 -0.906844  0.194944 -0.075375  0.976922   \n",
      "735 -0.530474  0.449591 -2.149441 -0.581266  0.593925 -1.157048  2.266023   \n",
      "850 -1.613409  1.467119  0.187807  1.032850 -2.193383 -0.478503  2.370121   \n",
      "800 -2.437974  0.813644  0.292719  1.129961  0.010590  0.636060 -1.370904   \n",
      "282 -0.160975 -0.195619  0.574784  1.624199 -1.756967 -1.462474  0.626548   \n",
      "\n",
      "           X0        X1  \n",
      "521 -0.661939 -0.778079  \n",
      "277 -0.094653 -1.876077  \n",
      "161  2.922502  1.516190  \n",
      "708  1.536317 -1.630925  \n",
      "810 -0.948286 -0.086533  \n",
      "..        ...       ...  \n",
      "549  0.976922 -0.075375  \n",
      "735  2.266023 -1.157048  \n",
      "850  2.370121 -0.478503  \n",
      "800 -1.370904  0.636060  \n",
      "282  0.626548 -1.462474  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 521     0.541061\n",
      "277     1.863805\n",
      "161   -11.664097\n",
      "708    12.369009\n",
      "810     5.956647\n",
      "         ...    \n",
      "549    15.679880\n",
      "735    15.212283\n",
      "850    12.795708\n",
      "800     2.492589\n",
      "282     7.672536\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 521     True\n",
      "277     True\n",
      "161    False\n",
      "708     True\n",
      "810     True\n",
      "       ...  \n",
      "549     True\n",
      "735     True\n",
      "850     True\n",
      "800     True\n",
      "282     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "335 -1.100336  1.977221  0.607966 -0.793885 -2.545464  1.366718  0.809280   \n",
      "171 -0.991677  1.353156 -1.437487 -0.719049 -1.376758  0.623510 -0.261505   \n",
      "148 -0.250226 -0.427685 -1.350273 -0.859032 -1.316345 -1.337075  1.060074   \n",
      "337 -2.354606  0.835613 -1.931366 -0.876002 -0.937969 -0.123990 -0.279434   \n",
      "550 -0.407100 -0.483698  0.309698 -0.047278  0.531595 -1.814945  0.574206   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "899 -0.628691 -0.756683 -0.238593 -1.000216 -1.325123 -0.779234 -0.059174   \n",
      "796 -0.102175  1.460876 -0.167504 -1.664169 -0.077747  0.248961 -0.648353   \n",
      "898 -1.258328  1.939644 -0.848240  1.668798  0.619521 -1.431741  2.092603   \n",
      "399 -1.386327  2.762234  0.245965  0.029650  1.174612 -2.486153  0.375883   \n",
      "982 -0.803224  0.691163 -0.389384 -0.943258  0.847790 -1.253997  1.159258   \n",
      "\n",
      "           X0        X1  \n",
      "335  0.809280  1.366718  \n",
      "171 -0.261505  0.623510  \n",
      "148  1.060074 -1.337075  \n",
      "337 -0.279434 -0.123990  \n",
      "550  0.574206 -1.814945  \n",
      "..        ...       ...  \n",
      "899 -0.059174 -0.779234  \n",
      "796 -0.648353  0.248961  \n",
      "898  2.092603 -1.431741  \n",
      "399  0.375883 -2.486153  \n",
      "982  1.159258 -1.253997  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 335     6.324474\n",
      "171     2.573635\n",
      "148     4.946877\n",
      "337   -10.149884\n",
      "550     9.910321\n",
      "         ...    \n",
      "899     2.709571\n",
      "796    -1.447993\n",
      "898    17.331546\n",
      "399    10.567009\n",
      "982    12.003112\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 335     True\n",
      "171     True\n",
      "148     True\n",
      "337    False\n",
      "550     True\n",
      "       ...  \n",
      "899     True\n",
      "796    False\n",
      "898     True\n",
      "399     True\n",
      "982     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0987\n",
      "INFO:causalml:    RMSE (Treatment):     1.0058\n",
      "INFO:causalml:   sMAPE   (Control):     0.5550\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1759\n",
      "INFO:causalml:    Gini   (Control):     0.7364\n",
      "INFO:causalml:    Gini (Treatment):     0.9863\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "256 -0.665575  1.778065 -0.968217 -0.127747  0.334922 -0.370859  2.847488   \n",
      "417 -0.457640  0.285454 -1.058043 -0.216185 -0.169154 -0.836608  1.797101   \n",
      "919  0.785385  1.126725 -0.775216 -0.702748  0.504256 -2.635844  0.545678   \n",
      "996 -3.019533  1.626102 -0.388613  1.772885  1.258386  0.954511  1.826523   \n",
      "821 -1.469025  1.208626 -3.567248 -0.517454 -1.519949  0.844796 -0.477846   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "667 -1.941159  0.823270 -0.024040  1.252969 -0.146037  0.363587  1.403426   \n",
      "176 -0.863464  1.495569  0.864471  0.072182 -2.735479 -0.175786 -0.386896   \n",
      "761 -1.710151 -0.234718 -0.890572 -1.456842  1.121008 -0.747674  0.901646   \n",
      "114 -0.344432  0.510373 -1.191251  0.334169 -1.996054 -1.308779 -0.613666   \n",
      "132 -4.244958  1.454520 -0.853378  1.165462 -2.200121  0.261365  0.329199   \n",
      "\n",
      "           X0        X1  \n",
      "256  2.847488 -0.370859  \n",
      "417  1.797101 -0.836608  \n",
      "919  0.545678 -2.635844  \n",
      "996  1.826523  0.954511  \n",
      "821 -0.477846  0.844796  \n",
      "..        ...       ...  \n",
      "667  1.403426  0.363587  \n",
      "176 -0.386896 -0.175786  \n",
      "761  0.901646 -0.747674  \n",
      "114 -0.613666 -1.308779  \n",
      "132  0.329199  0.261365  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 256    20.538593\n",
      "417    12.283023\n",
      "919    12.794015\n",
      "996    17.211685\n",
      "821    -9.602174\n",
      "         ...    \n",
      "667    11.985876\n",
      "176     0.810587\n",
      "761     7.959767\n",
      "114     0.119504\n",
      "132    -3.629107\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 256     True\n",
      "417     True\n",
      "919     True\n",
      "996     True\n",
      "821    False\n",
      "       ...  \n",
      "667     True\n",
      "176     True\n",
      "761     True\n",
      "114     True\n",
      "132     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9008\n",
      "INFO:causalml:    RMSE (Treatment):     0.9300\n",
      "INFO:causalml:   sMAPE   (Control):     0.5453\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1736\n",
      "INFO:causalml:    Gini   (Control):     0.7715\n",
      "INFO:causalml:    Gini (Treatment):     0.9875\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "435 -1.290773  1.787665 -0.154730  0.309899 -0.615941  1.055156  1.949821   \n",
      "571  0.073259 -0.265020  1.336202  0.316344  0.232892 -0.748365  1.455606   \n",
      "925 -0.241368 -0.555981 -1.886168  1.751812 -1.451546 -1.286078  0.058359   \n",
      "191 -0.167786 -0.382653 -2.050806  0.247710 -1.377576  0.097655 -0.163738   \n",
      "857 -0.880414  0.756512 -0.296519 -1.008379 -0.378510 -0.025587 -0.555009   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "304 -0.657374  0.819624  1.589740  2.162585  0.989363  0.796753  1.805996   \n",
      "732 -1.854802  1.650649 -0.613165  0.707549 -0.035249 -0.823780  2.115949   \n",
      "469 -1.857866  0.189421  0.310381 -1.897358 -1.033174 -1.519147  1.891197   \n",
      "139 -1.429328  0.994971  0.445033  0.053998  0.689442 -1.102233  0.834170   \n",
      "405 -3.090734 -0.161113 -0.615230 -0.393858  0.470887 -1.691078 -0.777247   \n",
      "\n",
      "           X0        X1  \n",
      "435  1.949821  1.055156  \n",
      "571  1.455606 -0.748365  \n",
      "925  0.058359 -1.286078  \n",
      "191 -0.163738  0.097655  \n",
      "857 -0.555009 -0.025587  \n",
      "..        ...       ...  \n",
      "304  1.805996  0.796753  \n",
      "732  2.115949 -0.823780  \n",
      "469  1.891197 -1.519147  \n",
      "139  0.834170 -1.102233  \n",
      "405 -0.777247 -1.691078  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 435    13.857254\n",
      "571    16.753939\n",
      "925     4.053751\n",
      "191    -5.492128\n",
      "857     4.361211\n",
      "         ...    \n",
      "304    22.259686\n",
      "732    -3.133831\n",
      "469     4.435916\n",
      "139    11.778033\n",
      "405    -8.503448\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 435     True\n",
      "571     True\n",
      "925     True\n",
      "191    False\n",
      "857     True\n",
      "       ...  \n",
      "304     True\n",
      "732    False\n",
      "469     True\n",
      "139     True\n",
      "405    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "373 -0.586068  0.785214 -0.258682  2.335104 -0.514019  0.671037 -0.047911   \n",
      "740 -1.730376 -0.082488 -0.860927  1.462483  0.614116 -0.480573  2.059247   \n",
      "501 -1.551334  1.009595  1.256427 -0.197566 -2.084231 -0.446778  0.288796   \n",
      "220  0.878591  1.244577 -0.156619  0.477556 -1.101665 -1.706181  0.564847   \n",
      "176 -0.686087  1.487416  0.889637  0.124132 -2.654856 -0.027463 -0.529537   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "975 -1.038536  0.544160  0.204063  2.023977 -0.641787 -1.154168  0.788529   \n",
      "783 -1.590418  1.712067 -1.071416 -2.106101 -0.628625  0.294950  0.044412   \n",
      "845 -1.343336 -0.556841 -1.157557  0.820337 -1.689095  0.090289 -0.518620   \n",
      "731 -0.748152  2.179917 -1.198134  0.162754 -0.255301 -0.187085  1.350099   \n",
      "437 -1.814920  2.655633  0.842024  0.082480 -1.483412 -1.248605 -0.208832   \n",
      "\n",
      "           X0        X1  \n",
      "373 -0.047911  0.671037  \n",
      "740  2.059247 -0.480573  \n",
      "501  0.288796 -0.446778  \n",
      "220  0.564847 -1.706181  \n",
      "176 -0.529537 -0.027463  \n",
      "..        ...       ...  \n",
      "975  0.788529 -1.154168  \n",
      "783  0.044412  0.294950  \n",
      "845 -0.518620  0.090289  \n",
      "731  1.350099 -0.187085  \n",
      "437 -0.208832 -1.248605  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 373    12.268099\n",
      "740    15.715393\n",
      "501     2.593155\n",
      "220    10.878908\n",
      "176     0.810587\n",
      "         ...    \n",
      "975     9.860888\n",
      "783     2.764437\n",
      "845    -8.309502\n",
      "731    13.912472\n",
      "437     1.751543\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 373     True\n",
      "740     True\n",
      "501     True\n",
      "220     True\n",
      "176     True\n",
      "       ...  \n",
      "975     True\n",
      "783     True\n",
      "845    False\n",
      "731     True\n",
      "437     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.2452\n",
      "INFO:causalml:    RMSE (Treatment):     1.0504\n",
      "INFO:causalml:   sMAPE   (Control):     0.5990\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1656\n",
      "INFO:causalml:    Gini   (Control):     0.7487\n",
      "INFO:causalml:    Gini (Treatment):     0.9861\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1500\n",
      "INFO:causalml:    RMSE (Treatment):     1.0641\n",
      "INFO:causalml:   sMAPE   (Control):     0.5799\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1953\n",
      "INFO:causalml:    Gini   (Control):     0.7139\n",
      "INFO:causalml:    Gini (Treatment):     0.9853\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "476 -0.916246  0.716053  1.561100  1.401698 -0.298811  1.040683  1.057571   \n",
      "96   1.086606  0.844974 -0.116830  0.902299 -1.404204 -1.070461  1.049181   \n",
      "350 -0.488393  1.011535  0.916039  0.266851 -0.692067 -1.712296  0.453096   \n",
      "247 -1.185833  0.211358  0.441802  0.973059 -0.087143 -1.599477 -0.505370   \n",
      "85  -1.717485  1.374249 -0.641572 -0.273738 -0.978240 -2.893886 -0.306468   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "676 -1.635484  2.555525 -0.922551  1.692212 -2.022160  0.377001  0.911202   \n",
      "955 -0.502191  0.691452 -1.555526  1.187045  1.790498 -0.879598  1.108326   \n",
      "624 -2.064699 -0.396411  0.015957  1.326630 -1.316539  0.201398  1.078927   \n",
      "164 -2.005248  0.401852 -1.029118  0.011918 -1.026978 -1.102522  0.124741   \n",
      "614 -2.496101  1.064544 -0.721495  0.237056  0.136538 -0.549725 -0.119093   \n",
      "\n",
      "           X0        X1  \n",
      "476  1.057571  1.040683  \n",
      "96   1.049181 -1.070461  \n",
      "350  0.453096 -1.712296  \n",
      "247 -0.505370 -1.599477  \n",
      "85  -0.306468 -2.893886  \n",
      "..        ...       ...  \n",
      "676  0.911202  0.377001  \n",
      "955  1.108326 -0.879598  \n",
      "624  1.078927  0.201398  \n",
      "164  0.124741 -1.102522  \n",
      "614 -0.119093 -0.549725  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 476    13.134949\n",
      "96     14.140134\n",
      "350     8.901755\n",
      "247     3.320266\n",
      "85     -0.384362\n",
      "         ...    \n",
      "676     8.554497\n",
      "955    18.503792\n",
      "624     5.810979\n",
      "164     1.757613\n",
      "614    -5.992837\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 476     True\n",
      "96      True\n",
      "350     True\n",
      "247     True\n",
      "85      True\n",
      "       ...  \n",
      "676     True\n",
      "955     True\n",
      "624     True\n",
      "164     True\n",
      "614    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0893\n",
      "INFO:causalml:    RMSE (Treatment):     1.0560\n",
      "INFO:causalml:   sMAPE   (Control):     0.5163\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1890\n",
      "INFO:causalml:    Gini   (Control):     0.6924\n",
      "INFO:causalml:    Gini (Treatment):     0.9841\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1185\n",
      "INFO:causalml:    RMSE (Treatment):     1.0528\n",
      "INFO:causalml:   sMAPE   (Control):     0.4944\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1829\n",
      "INFO:causalml:    Gini   (Control):     0.6812\n",
      "INFO:causalml:    Gini (Treatment):     0.9845\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0523\n",
      "INFO:causalml:    RMSE (Treatment):     1.0966\n",
      "INFO:causalml:   sMAPE   (Control):     0.5335\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1846\n",
      "INFO:causalml:    Gini   (Control):     0.7403\n",
      "INFO:causalml:    Gini (Treatment):     0.9842\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "656 -1.365084  1.819157  2.098686  0.874874  1.299507 -0.600109  0.545343   \n",
      "607 -0.706812 -0.877614 -0.315875 -0.408886 -0.483012 -0.921114 -0.109378   \n",
      "342 -1.679826 -0.614213 -1.995008 -0.124394  0.000163 -1.293688  0.397625   \n",
      "843 -1.884440  2.477489  1.248540  1.445514 -0.693600 -1.420867 -0.105174   \n",
      "574 -0.478880  0.360457 -1.256787  1.173270 -0.719220 -1.092105 -0.236187   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "348 -0.907488  1.956598 -1.850559  0.326344 -1.404297 -1.670213  1.590651   \n",
      "181  1.288764  0.127013 -0.064689  0.743168 -0.541843 -0.899438  0.210216   \n",
      "126 -0.216085  2.137236  0.513100 -0.728803 -0.439462 -1.680363  0.199879   \n",
      "804 -2.459387  0.782972 -0.055967  1.354856 -1.178010 -1.081715  0.546584   \n",
      "741 -0.609507  2.797551 -1.293786 -0.905862 -1.302123 -0.453713  0.131056   \n",
      "\n",
      "           X0        X1  \n",
      "656  0.545343 -0.600109  \n",
      "607 -0.109378 -0.921114  \n",
      "342  0.397625 -1.293688  \n",
      "843 -0.105174 -1.420867  \n",
      "574 -0.236187 -1.092105  \n",
      "..        ...       ...  \n",
      "348  1.590651 -1.670213  \n",
      "181  0.210216 -0.899438  \n",
      "126  0.199879 -1.680363  \n",
      "804  0.546584 -1.081715  \n",
      "741  0.131056 -0.453713  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 656    15.632059\n",
      "607     3.571733\n",
      "342    -6.856146\n",
      "843     6.032900\n",
      "574     5.633909\n",
      "         ...    \n",
      "348     9.469476\n",
      "181    13.569762\n",
      "126     9.175909\n",
      "804     2.906483\n",
      "741     5.593102\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 656     True\n",
      "607     True\n",
      "342    False\n",
      "843     True\n",
      "574     True\n",
      "       ...  \n",
      "348     True\n",
      "181     True\n",
      "126     True\n",
      "804     True\n",
      "741     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "766 -0.756667  0.367923  1.153857  1.799840  0.228541 -0.160941  0.239082   \n",
      "295 -0.920244  0.816180 -1.724668  0.524165 -1.332265  0.253598  1.161850   \n",
      "413 -0.358793  1.190467 -2.753001 -1.067620 -3.125181 -0.715718 -0.055546   \n",
      "293 -1.984653 -1.143055 -1.910437 -1.334067 -0.775120 -1.530153  0.337544   \n",
      "669 -0.053879  0.915218 -1.183049  0.444186  0.486040 -2.352234 -0.881775   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "475 -1.420390 -1.741700 -1.396914 -1.520924 -0.835104 -0.095234  2.793876   \n",
      "136 -1.755542 -0.374752 -1.002181  1.103858  0.006548  0.715375 -0.163707   \n",
      "421 -2.105743  0.172084 -0.756788 -0.443594 -0.113048  0.950566 -2.126405   \n",
      "857 -0.822371  0.714026 -0.458390 -0.895779 -0.553540  0.003880 -0.725634   \n",
      "977 -1.684132  0.534968 -1.003727  0.342221  0.432128 -0.191376  1.501638   \n",
      "\n",
      "           X0        X1  \n",
      "766  0.239082 -0.160941  \n",
      "295  1.161850  0.253598  \n",
      "413 -0.055546 -0.715718  \n",
      "293  0.337544 -1.530153  \n",
      "669 -0.881775 -2.352234  \n",
      "..        ...       ...  \n",
      "475  2.793876 -0.095234  \n",
      "136 -0.163707  0.715375  \n",
      "421 -2.126405  0.950566  \n",
      "857 -0.725634  0.003880  \n",
      "977  1.501638 -0.191376  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 766    12.119461\n",
      "295     9.933260\n",
      "413   -10.466301\n",
      "293   -11.609205\n",
      "669     6.961904\n",
      "         ...    \n",
      "475   -10.586297\n",
      "136    -4.977571\n",
      "421    -2.608507\n",
      "857     4.361211\n",
      "977    -3.568162\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 766     True\n",
      "295     True\n",
      "413    False\n",
      "293    False\n",
      "669     True\n",
      "       ...  \n",
      "475    False\n",
      "136    False\n",
      "421     True\n",
      "857     True\n",
      "977    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "716 -1.780908  1.296653 -1.506171 -1.069888  1.365460 -0.138733  0.313991   \n",
      "932 -1.299847  0.588967 -0.107455  0.283732 -1.323747  0.130964 -0.733880   \n",
      "582 -1.949519  1.287445 -0.375304  1.762713 -0.174648 -0.675732  0.814971   \n",
      "28   0.228184 -1.669546 -0.676058 -1.615774 -0.315091 -0.476678 -0.171973   \n",
      "761 -1.902200 -0.095299 -0.949139 -1.353268  0.986338 -0.829036  0.806286   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "207 -1.325801  1.102182  1.192057  0.460207  1.410201 -2.357977  0.753458   \n",
      "914 -0.005436  1.224618  0.435307 -0.579745 -0.861379  0.677591  0.691308   \n",
      "321 -2.029734 -0.232718  0.728393  0.233231 -0.613002 -0.260258  0.602071   \n",
      "774 -0.740094  0.123906  0.391809 -0.824587  0.195687 -1.391723  0.153809   \n",
      "41   0.107240 -0.096356 -0.831740  2.298990 -0.212071 -0.017084  0.168104   \n",
      "\n",
      "           X0        X1  \n",
      "716  0.313991 -0.138733  \n",
      "932 -0.733880  0.130964  \n",
      "582  0.814971 -0.675732  \n",
      "28  -0.171973 -0.476678  \n",
      "761  0.806286 -0.829036  \n",
      "..        ...       ...  \n",
      "207  0.753458 -2.357977  \n",
      "914  0.691308  0.677591  \n",
      "321  0.602071 -0.260258  \n",
      "774  0.153809 -1.391723  \n",
      "41   0.168104 -0.017084  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 716     9.358799\n",
      "932     1.654133\n",
      "582    10.549091\n",
      "28      4.753158\n",
      "761     7.959767\n",
      "         ...    \n",
      "207    13.068250\n",
      "914    12.801840\n",
      "321    -6.946700\n",
      "774     6.080336\n",
      "41     12.011428\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 716     True\n",
      "932     True\n",
      "582     True\n",
      "28      True\n",
      "761     True\n",
      "       ...  \n",
      "207     True\n",
      "914     True\n",
      "321    False\n",
      "774     True\n",
      "41      True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.2193\n",
      "INFO:causalml:    RMSE (Treatment):     0.9058\n",
      "INFO:causalml:   sMAPE   (Control):     0.5661\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1605\n",
      "INFO:causalml:    Gini   (Control):     0.6898\n",
      "INFO:causalml:    Gini (Treatment):     0.9892\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0219\n",
      "INFO:causalml:    RMSE (Treatment):     0.8973\n",
      "INFO:causalml:   sMAPE   (Control):     0.5490\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1593\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "535 -0.408946 -0.549911 -0.438350  0.654294 -0.431326 -1.569354  2.919030   \n",
      "813 -2.613072  1.682590 -1.177321  0.400974  0.448995 -0.975483  0.266881   \n",
      "702  1.737639  1.568111 -0.021695 -0.401659  1.804794  0.047483  0.487667   \n",
      "520 -1.447681  0.708456 -0.474129 -0.049508 -0.575110 -0.862941  1.229650   \n",
      "489 -0.389307 -1.466011 -0.718566  0.734077  0.085211 -1.077799 -1.288199   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "961 -1.446214  1.654762 -0.271929  1.143991 -0.885921 -1.901416  0.019326   \n",
      "57   0.172187  0.239910 -0.921379  0.628416  0.606811 -0.931338  2.313877   \n",
      "541  0.332641 -0.475919 -0.267263 -1.407782  0.013615 -0.561815 -0.244886   \n",
      "659 -0.818998  2.868143 -0.850733  2.637302 -1.828988 -0.761172 -0.675929   \n",
      "877 -0.220138  0.794346 -0.213728 -1.750195  1.452935  1.435132 -0.171223   \n",
      "\n",
      "           X0        X1  \n",
      "535  2.919030 -1.569354  \n",
      "813  0.266881 -0.975483  \n",
      "702  0.487667  0.047483  \n",
      "520  1.229650 -0.862941  \n",
      "489 -1.288199 -1.077799  \n",
      "..        ...       ...  \n",
      "961  0.019326 -1.901416  \n",
      "57   2.313877 -0.931338  \n",
      "541 -0.244886 -0.561815  \n",
      "659 -0.675929 -0.761172  \n",
      "877 -0.171223  1.435132  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 535    16.319324\n",
      "813     5.390940\n",
      "702    23.877017\n",
      "520    -5.145441\n",
      "489     2.992182\n",
      "         ...    \n",
      "961     4.732956\n",
      "57     18.788397\n",
      "541     5.970889\n",
      "659     4.772285\n",
      "877    12.698322\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 535     True\n",
      "813     True\n",
      "702     True\n",
      "520    False\n",
      "489     True\n",
      "       ...  \n",
      "961     True\n",
      "57      True\n",
      "541     True\n",
      "659     True\n",
      "877     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "809 -1.752726  1.478834  0.359537  1.257853 -1.355993 -0.610185  0.942202   \n",
      "474 -0.345282  2.676627 -0.363979  0.739986  1.029841 -0.808572  0.177291   \n",
      "51  -0.311615  0.463675  1.315166 -0.177182 -0.411103 -0.774316 -0.120261   \n",
      "706 -0.692079  2.126244  0.262442  0.057324  0.769064 -0.869747  2.342587   \n",
      "42   0.652502  0.343937 -0.589744  1.123646  0.894766  0.882823  0.656313   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "519 -1.076340  1.531144 -0.136154 -0.171633 -1.209391 -0.787394  0.436260   \n",
      "982 -0.838780  0.578530 -0.508228 -0.862035  0.874482 -1.286068  1.319914   \n",
      "736 -0.812325  1.159239 -1.139383  1.176134 -1.104442 -1.210979  0.111341   \n",
      "806 -0.847931 -0.003755  0.040395  0.548220 -0.999150 -2.048184  1.979963   \n",
      "811 -1.703399  0.515531 -1.691708  1.993570 -0.182223 -2.128436  1.939605   \n",
      "\n",
      "           X0        X1  \n",
      "809  0.942202 -0.610185  \n",
      "474  0.177291 -0.808572  \n",
      "51  -0.120261 -0.774316  \n",
      "706  2.342587 -0.869747  \n",
      "42   0.656313  0.882823  \n",
      "..        ...       ...  \n",
      "519  0.436260 -0.787394  \n",
      "982  1.319914 -1.286068  \n",
      "736  0.111341 -1.210979  \n",
      "806  1.979963 -2.048184  \n",
      "811  1.939605 -2.128436  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 809     7.084273\n",
      "474    14.285230\n",
      "51      8.374283\n",
      "706    19.485830\n",
      "42     19.574715\n",
      "         ...    \n",
      "519     6.513308\n",
      "982    12.003112\n",
      "736     5.459094\n",
      "806    11.154196\n",
      "811    10.541175\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 809    True\n",
      "474    True\n",
      "51     True\n",
      "706    True\n",
      "42     True\n",
      "       ... \n",
      "519    True\n",
      "982    True\n",
      "736    True\n",
      "806    True\n",
      "811    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini   (Control):     0.7354\n",
      "INFO:causalml:    Gini (Treatment):     0.9894\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9566\n",
      "INFO:causalml:    RMSE (Treatment):     0.9046\n",
      "INFO:causalml:   sMAPE   (Control):     0.5404\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1517\n",
      "INFO:causalml:    Gini   (Control):     0.7800\n",
      "INFO:causalml:    Gini (Treatment):     0.9892\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "710 -0.885544  3.109400 -1.161211 -0.183391 -0.929634 -0.717760 -0.422444   \n",
      "288 -1.778829  1.792842  0.514340  0.704523 -1.436816  0.250296  0.553171   \n",
      "21  -0.748560  0.992715 -0.587886  1.191375  0.068951 -1.902454 -0.219831   \n",
      "852 -3.079856  0.894105 -1.545568  0.883254  0.925119 -1.911790  0.642795   \n",
      "605 -0.743595  1.049269 -1.274067  1.230038 -0.519646 -1.730869  0.754537   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "61  -0.611891  0.230504 -0.106735  0.888671 -1.792676 -2.140587 -1.199169   \n",
      "236 -0.823569  1.054378  0.015185 -1.300129 -1.944497  0.868855  0.267289   \n",
      "385 -0.047892 -0.133264 -0.328396  0.389706 -1.938165 -1.366609 -1.458593   \n",
      "102 -0.272519 -0.441834 -1.705100  1.615818  0.227272 -0.903417  1.048783   \n",
      "818 -2.314737  0.952842 -0.240204  0.218917 -2.342249 -0.645204  1.335878   \n",
      "\n",
      "           X0        X1  \n",
      "710 -0.422444 -0.717760  \n",
      "288  0.553171  0.250296  \n",
      "21  -0.219831 -1.902454  \n",
      "852  0.642795 -1.911790  \n",
      "605  0.754537 -1.730869  \n",
      "..        ...       ...  \n",
      "61  -1.199169 -2.140587  \n",
      "236  0.267289  0.868855  \n",
      "385 -1.458593 -1.366609  \n",
      "102  1.048783 -0.903417  \n",
      "818  1.335878 -0.645204  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 710     5.904376\n",
      "288     5.235864\n",
      "21      6.406231\n",
      "852     4.981610\n",
      "605    -1.888067\n",
      "         ...    \n",
      "61     -3.292629\n",
      "236     4.765758\n",
      "385    -1.265529\n",
      "102    12.024923\n",
      "818   -11.770683\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 710     True\n",
      "288     True\n",
      "21      True\n",
      "852     True\n",
      "605    False\n",
      "       ...  \n",
      "61      True\n",
      "236     True\n",
      "385     True\n",
      "102     True\n",
      "818    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0569\n",
      "INFO:causalml:    RMSE (Treatment):     0.9878\n",
      "INFO:causalml:   sMAPE   (Control):     0.5790\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1811\n",
      "INFO:causalml:    Gini   (Control):     0.7231\n",
      "INFO:causalml:    Gini (Treatment):     0.9886\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0845\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "358 -1.618982  0.336568 -0.776039  1.448581 -1.102834 -0.364277  0.374769   \n",
      "540 -1.561058  2.046827 -0.447731 -0.203809  2.188471  0.651892  1.592926   \n",
      "74  -1.264685 -0.089928 -2.538475 -2.032437  1.258205 -2.129692  1.397599   \n",
      "189  0.623183  0.339064  1.379526 -0.573508 -3.246150 -0.459409  1.117661   \n",
      "122 -3.033143 -0.118046 -1.231457  0.914404  0.023980 -1.772121  0.337744   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "223 -0.861923  0.334306  0.352111  1.762110 -1.820752 -1.139081  0.854460   \n",
      "254 -1.269406 -0.739805 -1.201137  0.641957  0.176942 -0.232125 -1.387830   \n",
      "493 -0.951445  2.289435 -1.354908  0.358001 -0.221044 -0.014761 -0.799413   \n",
      "883 -1.192269  0.013901 -0.092697 -0.181750 -1.393782  1.118679  0.530328   \n",
      "26   0.006493 -0.018154  0.263089  2.895273 -0.498851 -2.131243  2.267322   \n",
      "\n",
      "           X0        X1  \n",
      "358  0.374769 -0.364277  \n",
      "540  1.592926  0.651892  \n",
      "74   1.397599 -2.129692  \n",
      "189  1.117661 -0.459409  \n",
      "122  0.337744 -1.772121  \n",
      "..        ...       ...  \n",
      "223  0.854460 -1.139081  \n",
      "254 -1.387830 -0.232125  \n",
      "493 -0.799413 -0.014761  \n",
      "883  0.530328  1.118679  \n",
      "26   2.267322 -2.131243  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 358     3.577322\n",
      "540    19.517995\n",
      "74      8.688916\n",
      "189     5.702358\n",
      "122    -8.281570\n",
      "         ...    \n",
      "223     6.636087\n",
      "254     0.689958\n",
      "493     4.987087\n",
      "883     5.901248\n",
      "26     17.468518\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 358     True\n",
      "540     True\n",
      "74      True\n",
      "189     True\n",
      "122    False\n",
      "       ...  \n",
      "223     True\n",
      "254     True\n",
      "493     True\n",
      "883     True\n",
      "26      True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "240 -1.263348  1.162763  0.105228  1.205755 -0.119909 -1.028827 -0.167676   \n",
      "498  0.810539  1.373755  0.219523  0.539263  0.138168 -0.144650  0.582504   \n",
      "529  0.630397 -0.221831 -0.178235 -0.483179 -2.770740 -1.892844  0.415426   \n",
      "457 -1.354105  1.457178 -0.777315  1.883983 -2.976922 -1.550290 -0.125306   \n",
      "2   -1.608387 -0.291487 -0.839419 -0.258104 -1.204207 -0.514901 -0.399287   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "929 -1.676347  1.563545 -0.515152  0.216150 -1.656749  0.514116 -0.605672   \n",
      "197 -1.603567  0.713467 -2.349028  2.255348 -1.048802 -0.635757  1.187067   \n",
      "750 -0.265670  2.101574 -2.127944 -0.954356  0.096180  0.364974  0.481835   \n",
      "349 -1.826042  1.028645 -0.118728  0.401023 -0.059445 -0.562672  1.065773   \n",
      "477 -3.013714  0.861584 -0.071117  1.361774 -1.356168 -0.940111  1.860255   \n",
      "\n",
      "           X0        X1  \n",
      "240 -0.167676 -1.028827  \n",
      "498  0.582504 -0.144650  \n",
      "529  0.415426 -1.892844  \n",
      "457 -0.125306 -1.550290  \n",
      "2   -0.399287 -0.514901  \n",
      "..        ...       ...  \n",
      "929 -0.605672  0.514116  \n",
      "197  1.187067 -0.635757  \n",
      "750  0.481835  0.364974  \n",
      "349  1.065773 -0.562672  \n",
      "477  1.860255 -0.940111  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 240     6.512254\n",
      "498    17.581110\n",
      "529     3.288937\n",
      "457    -8.028104\n",
      "2      -9.777346\n",
      "         ...    \n",
      "929     0.739416\n",
      "197    -4.810420\n",
      "750    -1.151925\n",
      "349    10.315484\n",
      "477     7.037455\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 240     True\n",
      "498     True\n",
      "529     True\n",
      "457    False\n",
      "2      False\n",
      "       ...  \n",
      "929     True\n",
      "197    False\n",
      "750    False\n",
      "349     True\n",
      "477     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    RMSE (Treatment):     0.9745\n",
      "INFO:causalml:   sMAPE   (Control):     0.5396\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1887\n",
      "INFO:causalml:    Gini   (Control):     0.7519\n",
      "INFO:causalml:    Gini (Treatment):     0.9890\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0117\n",
      "INFO:causalml:    RMSE (Treatment):     0.9768\n",
      "INFO:causalml:   sMAPE   (Control):     0.4914\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1746\n",
      "INFO:causalml:    Gini   (Control):     0.7261\n",
      "INFO:causalml:    Gini (Treatment):     0.9861\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.8418\n",
      "INFO:causalml:    RMSE (Treatment):     1.0209\n",
      "INFO:causalml:   sMAPE   (Control):     0.4726\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1868\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "273 -0.677619  1.186574 -0.958007  1.376116 -1.854810 -0.737435 -2.090940   \n",
      "597 -0.418731  0.117396 -1.426846  2.216330 -0.924005  0.298973 -0.106910   \n",
      "840  0.815459  0.748352  0.500100  1.252534 -0.255523 -0.079447  0.564455   \n",
      "24  -0.617694  0.450154 -1.288916  1.397034 -2.702385 -0.985369  0.468185   \n",
      "520 -1.383487  0.444018 -0.638238  0.000878 -0.541441 -0.933725  1.018526   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "111  1.145629  0.629617 -0.273566  1.928849 -0.574426 -0.809487  0.827795   \n",
      "990  0.189329  0.975162 -0.079997  0.203722 -1.239292  0.415439 -0.101237   \n",
      "669  0.261455  1.204097 -0.832557  0.498671  0.600173 -2.208832 -0.891973   \n",
      "935 -1.605048  0.441036  0.273670  1.925556 -1.113346  0.059029  0.672250   \n",
      "569 -2.807598  0.429742  0.681303  2.110926  1.443053 -1.329212  2.269497   \n",
      "\n",
      "           X0        X1  \n",
      "273 -2.090940 -0.737435  \n",
      "597 -0.106910  0.298973  \n",
      "840  0.564455 -0.079447  \n",
      "24   0.468185 -0.985369  \n",
      "520  1.018526 -0.933725  \n",
      "..        ...       ...  \n",
      "111  0.827795 -0.809487  \n",
      "990 -0.101237  0.415439  \n",
      "669 -0.891973 -2.208832  \n",
      "935  0.672250  0.059029  \n",
      "569  2.269497 -1.329212  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 273    -2.115646\n",
      "597    -1.143963\n",
      "840    15.748095\n",
      "24     -7.244556\n",
      "520    -5.145441\n",
      "         ...    \n",
      "111    16.735009\n",
      "990     8.714440\n",
      "669     6.961904\n",
      "935     7.518694\n",
      "569    16.043709\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 273     True\n",
      "597    False\n",
      "840     True\n",
      "24     False\n",
      "520    False\n",
      "       ...  \n",
      "111     True\n",
      "990     True\n",
      "669     True\n",
      "935     True\n",
      "569     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "712 -0.414558  0.791334 -0.285844  1.287638 -0.036979 -0.636977 -0.815817   \n",
      "391 -0.372872  1.188105  1.332948 -1.096777  0.691069  0.171162  0.169036   \n",
      "20  -1.011585  1.257003 -0.535764  1.111335 -0.895269  0.514914  1.672974   \n",
      "470 -0.162220  1.935118 -0.011814 -0.925369 -2.133829 -0.933173 -1.040196   \n",
      "314 -0.880874 -0.400956 -2.328729  0.380658  0.016809 -2.711706  1.361550   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "775 -2.373011  1.748196 -1.426159  0.981177 -1.145867 -0.033774  0.340850   \n",
      "610 -0.587750  1.485507  0.022402  0.026463 -1.269696 -0.553590  1.054406   \n",
      "426 -0.510025  1.271371 -0.839987 -0.487718  0.846988 -0.539433 -0.390435   \n",
      "512 -1.207671  1.719265  1.811797  3.102993 -1.534562 -1.029973  0.170662   \n",
      "940  1.529456 -0.177965 -1.014976  0.360544 -0.351084 -1.262187  0.175720   \n",
      "\n",
      "           X0        X1  \n",
      "712 -0.815817 -0.636977  \n",
      "391  0.169036  0.171162  \n",
      "20   1.672974  0.514914  \n",
      "470 -1.040196 -0.933173  \n",
      "314  1.361550 -2.711706  \n",
      "..        ...       ...  \n",
      "775  0.340850 -0.033774  \n",
      "610  1.054406 -0.553590  \n",
      "426 -0.390435 -0.539433  \n",
      "512  0.170662 -1.029973  \n",
      "940  0.175720 -1.262187  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 712     6.780320\n",
      "391    13.502571\n",
      "20     14.509975\n",
      "470    -0.021734\n",
      "314    -3.811119\n",
      "         ...    \n",
      "775    -7.934090\n",
      "610     9.248446\n",
      "426     8.947595\n",
      "512     8.367137\n",
      "940    12.297833\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 712     True\n",
      "391     True\n",
      "20      True\n",
      "470     True\n",
      "314    False\n",
      "       ...  \n",
      "775    False\n",
      "610     True\n",
      "426     True\n",
      "512     True\n",
      "940     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini   (Control):     0.7374\n",
      "INFO:causalml:    Gini (Treatment):     0.9848\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0460\n",
      "INFO:causalml:    RMSE (Treatment):     0.9925\n",
      "INFO:causalml:   sMAPE   (Control):     0.5278\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1729\n",
      "INFO:causalml:    Gini   (Control):     0.7357\n",
      "INFO:causalml:    Gini (Treatment):     0.9855\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "574 -0.628170  0.490047 -0.998970  1.114067 -0.634946 -0.977042 -0.135971   \n",
      "279 -2.042524 -0.515422 -0.001494  0.585008 -0.007506  0.718590  1.220915   \n",
      "4   -1.318715  0.653079 -2.000279  0.498075 -0.156856 -0.883068  0.497926   \n",
      "346 -1.629199  0.177398 -0.054513  1.040503  0.789129 -0.768061  0.556015   \n",
      "311 -0.500132 -0.676690  0.496760 -0.867403 -1.887667  0.095543  1.170573   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "165  0.701052 -0.293887  1.099465 -2.275733 -1.154126 -1.597081  0.433060   \n",
      "186 -0.713055  3.862460  0.200335  1.622113 -1.025908 -0.071922  0.803886   \n",
      "432 -1.883946  0.320996  0.350803  0.548764  0.239354 -0.240906  0.080076   \n",
      "363 -1.458807  1.554723 -0.100304 -0.726284 -0.183216 -2.651428  1.761662   \n",
      "256 -0.520119  1.788996 -0.945605  0.029491  0.376885 -0.323118  2.874166   \n",
      "\n",
      "           X0        X1  \n",
      "574 -0.135971 -0.977042  \n",
      "279  1.220915  0.718590  \n",
      "4    0.497926 -0.883068  \n",
      "346  0.556015 -0.768061  \n",
      "311  1.170573  0.095543  \n",
      "..        ...       ...  \n",
      "165  0.433060 -1.597081  \n",
      "186  0.803886 -0.071922  \n",
      "432  0.080076 -0.240906  \n",
      "363  1.761662 -2.651428  \n",
      "256  2.874166 -0.323118  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 574     5.633909\n",
      "279    -6.155145\n",
      "4      -4.253140\n",
      "346    10.270986\n",
      "311     6.548500\n",
      "         ...    \n",
      "165     4.362892\n",
      "186    14.738530\n",
      "432     6.046513\n",
      "363     8.937908\n",
      "256    20.538593\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 574     True\n",
      "279    False\n",
      "4      False\n",
      "346     True\n",
      "311     True\n",
      "       ...  \n",
      "165     True\n",
      "186     True\n",
      "432     True\n",
      "363     True\n",
      "256     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0604\n",
      "INFO:causalml:    RMSE (Treatment):     0.9944\n",
      "INFO:causalml:   sMAPE   (Control):     0.5353\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1628\n",
      "INFO:causalml:    Gini   (Control):     0.7639\n",
      "INFO:causalml:    Gini (Treatment):     0.9878\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1445\n",
      "INFO:causalml:    RMSE (Treatment):     0.9943\n",
      "INFO:causalml:   sMAPE   (Control):     0.5612\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1686\n",
      "INFO:causalml:    Gini   (Control):     0.7414\n",
      "INFO:causalml:    Gini (Treatment):     0.9876\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "589 -1.748176 -0.155602 -1.017759 -0.269662 -1.463838  0.574539 -0.268489   \n",
      "34   0.308690  2.301209  0.550368 -0.173328  0.312406  1.777416  1.357787   \n",
      "925 -0.454416 -0.506845 -1.768763  1.827165 -1.341544 -1.475720 -0.015125   \n",
      "500 -0.845036 -0.731265  0.645794  1.354525  1.237255 -0.111407  1.537868   \n",
      "646 -0.583674  1.079458  0.046224  1.641185 -1.743680 -0.669495  1.053700   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "793 -0.493825  1.869213 -0.304250 -1.310964 -1.740684 -0.303164  1.395958   \n",
      "189  0.331711  0.200259  1.290837 -0.775730 -3.102590 -0.388644  0.719845   \n",
      "847 -0.727785  1.444691  0.778506  2.582550 -2.760931 -1.801513 -0.277971   \n",
      "585  0.992384  0.557539 -0.314856  0.502749  0.252605  0.635638  0.314569   \n",
      "557  0.221457 -0.260211  0.145958  1.385913 -1.584558 -1.443598 -0.270600   \n",
      "\n",
      "           X0        X1  \n",
      "589 -0.268489  0.574539  \n",
      "34   1.357787  1.777416  \n",
      "925 -0.015125 -1.475720  \n",
      "500  1.537868 -0.111407  \n",
      "646  1.053700 -0.669495  \n",
      "..        ...       ...  \n",
      "793  1.395958 -0.303164  \n",
      "189  0.719845 -0.388644  \n",
      "847 -0.277971 -1.801513  \n",
      "585  0.314569  0.635638  \n",
      "557 -0.270600 -1.443598  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 589   -10.258505\n",
      "34     22.166660\n",
      "925     4.053751\n",
      "500    17.859054\n",
      "646     9.399353\n",
      "         ...    \n",
      "793     9.029191\n",
      "189     5.702358\n",
      "847     2.927082\n",
      "585    17.683899\n",
      "557     5.886610\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 589    False\n",
      "34      True\n",
      "925     True\n",
      "500     True\n",
      "646     True\n",
      "       ...  \n",
      "793     True\n",
      "189     True\n",
      "847     True\n",
      "585     True\n",
      "557     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "670 -0.277250 -0.210543 -0.138522  0.102428  0.056937 -0.175638  0.013252   \n",
      "513 -0.744367  1.544602 -0.662760  2.360959  3.314790 -0.465990  0.294035   \n",
      "566 -0.642524  0.944299 -1.173029  0.761402 -0.130403 -1.047601  0.808957   \n",
      "82  -1.511905  0.757699 -0.695620  1.209082 -0.799840 -0.648411 -0.917466   \n",
      "720 -0.172043  0.454702 -1.152236 -1.934944 -1.645816  0.040783  2.268147   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "624 -1.991574 -0.338454 -0.082311  1.218307 -1.216017  0.236149  1.025945   \n",
      "85  -1.707670  1.488772 -0.541956 -0.093565 -1.123841 -2.815247 -0.273263   \n",
      "802 -0.876361  0.328210  1.791160  1.911211 -1.427104 -1.932645  0.590992   \n",
      "256 -0.672850  1.743199 -0.845564  0.204138  0.135315 -0.465105  3.182018   \n",
      "686 -1.425466 -0.586366 -0.500467  2.146743 -1.612155  0.644111  0.201290   \n",
      "\n",
      "           X0        X1  \n",
      "670  0.013252 -0.175638  \n",
      "513  0.294035 -0.465990  \n",
      "566  0.808957 -1.047601  \n",
      "82  -0.917466 -0.648411  \n",
      "720  2.268147  0.040783  \n",
      "..        ...       ...  \n",
      "624  1.025945  0.236149  \n",
      "85  -0.273263 -2.815247  \n",
      "802  0.590992 -1.932645  \n",
      "256  3.182018 -0.465105  \n",
      "686  0.201290  0.644111  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 670     8.500958\n",
      "513    22.411994\n",
      "566    11.504404\n",
      "82      0.633027\n",
      "720    11.018665\n",
      "         ...    \n",
      "624     5.810979\n",
      "85     -0.384362\n",
      "802     7.188003\n",
      "256    20.538593\n",
      "686     4.432389\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 670    True\n",
      "513    True\n",
      "566    True\n",
      "82     True\n",
      "720    True\n",
      "       ... \n",
      "624    True\n",
      "85     True\n",
      "802    True\n",
      "256    True\n",
      "686    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0158\n",
      "INFO:causalml:    RMSE (Treatment):     0.9613\n",
      "INFO:causalml:   sMAPE   (Control):     0.5428\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1827\n",
      "INFO:causalml:    Gini   (Control):     0.7311\n",
      "INFO:causalml:    Gini (Treatment):     0.9887\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "294  0.652011  0.298007 -0.418953  0.292428 -0.732963 -1.633518  0.181559   \n",
      "839 -0.412169  0.833947 -0.603844  0.891018  0.087956 -0.819805  0.059602   \n",
      "397  0.740199  0.400858 -1.595990 -0.603329 -0.574721 -0.509353  0.696423   \n",
      "838 -0.740006 -0.058434 -0.927145  0.910512 -0.777889 -1.034288 -0.481204   \n",
      "473 -2.185995  3.010844  0.110059  0.565874 -1.589594 -2.013939  0.488150   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "69  -1.483962  0.528791 -1.403685  1.730814 -1.962470  0.895590  2.864753   \n",
      "308 -1.362757  0.359206  0.455134  0.677304  1.099989 -0.654966  0.653793   \n",
      "585  0.879539  0.642240 -0.066938  0.411457 -0.063654  0.460095  0.641935   \n",
      "60   0.288490 -0.246400 -0.063626  1.811323 -1.230966  1.056647 -0.921207   \n",
      "878 -1.071925  2.714481 -2.157851  1.105897 -0.013140 -0.774942  0.812385   \n",
      "\n",
      "           X0        X1  \n",
      "294  0.181559 -1.633518  \n",
      "839  0.059602 -0.819805  \n",
      "397  0.696423 -0.509353  \n",
      "838 -0.481204 -1.034288  \n",
      "473  0.488150 -2.013939  \n",
      "..        ...       ...  \n",
      "69   2.864753  0.895590  \n",
      "308  0.653793 -0.654966  \n",
      "585  0.641935  0.460095  \n",
      "60  -0.921207  1.056647  \n",
      "878  0.812385 -0.774942  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 294     8.885443\n",
      "839    10.718157\n",
      "397    12.505105\n",
      "838     3.145267\n",
      "473     2.964870\n",
      "         ...    \n",
      "69     14.310653\n",
      "308    12.604981\n",
      "585    17.683899\n",
      "60      6.681242\n",
      "878    11.079847\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 294    True\n",
      "839    True\n",
      "397    True\n",
      "838    True\n",
      "473    True\n",
      "       ... \n",
      "69     True\n",
      "308    True\n",
      "585    True\n",
      "60     True\n",
      "878    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "528 -1.299357  2.085097 -0.391547  0.457171 -1.708455  0.655051  1.011679   \n",
      "304 -0.683685  0.803297  1.483699  2.148691  0.979045  1.007386  1.610230   \n",
      "681 -0.792822  1.511898  0.728455 -0.982430  1.296513 -0.075802  1.899100   \n",
      "578 -0.435146 -0.528440 -0.535245 -0.909243 -0.449900 -0.174179  0.636845   \n",
      "462 -1.007114  1.121916 -0.135373 -0.093987  0.835789 -0.091912 -0.269468   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "292 -2.719957  1.122903 -0.402724  0.686720 -1.560917  0.788547  0.215067   \n",
      "610 -0.710158  1.637766  0.101329 -0.160697 -1.425310 -0.568631  1.076851   \n",
      "871 -1.592522 -0.440663 -2.352130 -0.994201 -0.403635 -0.702024 -0.783500   \n",
      "133 -2.033771  3.169595  0.556234  0.158380  1.204623  0.987751  1.142136   \n",
      "500 -0.779020 -0.811585  0.655207  1.303179  1.124806 -0.213754  1.466213   \n",
      "\n",
      "           X0        X1  \n",
      "528  1.011679  0.655051  \n",
      "304  1.610230  1.007386  \n",
      "681  1.899100 -0.075802  \n",
      "578  0.636845 -0.174179  \n",
      "462 -0.269468 -0.091912  \n",
      "..        ...       ...  \n",
      "292  0.215067  0.788547  \n",
      "610  1.076851 -0.568631  \n",
      "871 -0.783500 -0.702024  \n",
      "133  1.142136  0.987751  \n",
      "500  1.466213 -0.213754  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 528     8.156158\n",
      "304    22.259686\n",
      "681    18.090454\n",
      "578    -2.946371\n",
      "462     9.112148\n",
      "         ...    \n",
      "292   -10.155301\n",
      "610     9.248446\n",
      "871    -8.791062\n",
      "133    16.345538\n",
      "500    17.859054\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 528     True\n",
      "304     True\n",
      "681     True\n",
      "578    False\n",
      "462     True\n",
      "       ...  \n",
      "292    False\n",
      "610     True\n",
      "871    False\n",
      "133     True\n",
      "500     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1122\n",
      "INFO:causalml:    RMSE (Treatment):     0.9994\n",
      "INFO:causalml:   sMAPE   (Control):     0.5167\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1760\n",
      "INFO:causalml:    Gini   (Control):     0.7523\n",
      "INFO:causalml:    Gini (Treatment):     0.9873\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0266\n",
      "INFO:causalml:    RMSE (Treatment):     1.0330\n",
      "INFO:causalml:   sMAPE   (Control):     0.5590\n",
      "INFO:causalml:   sMAPE (Treatment):     0.2011\n",
      "INFO:causalml:    Gini   (Control):     0.7985\n",
      "INFO:causalml:    Gini (Treatment):     0.9884\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9877\n",
      "INFO:causalml:    RMSE (Treatment):     1.0373\n",
      "INFO:causalml:   sMAPE   (Control):     0.5431\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1665\n",
      "INFO:causalml:    Gini   (Control):     0.7361\n",
      "INFO:causalml:    Gini (Treatment):     0.9850\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "72  -1.947483 -0.962961 -1.120901 -0.939085 -1.343606 -0.303198  0.063538   \n",
      "503 -2.046887  1.940449 -1.561164  0.401595  0.508324 -0.415936  1.012491   \n",
      "58  -0.709985  1.240568  0.630926 -0.459984 -0.993976 -0.669026  0.683581   \n",
      "857 -0.857882  0.661107 -0.166046 -1.069666 -0.415578 -0.026838 -0.309020   \n",
      "875 -2.420560  0.087914  0.299755  0.670579 -0.455537  0.289669 -0.663331   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "101 -1.360162 -0.844073 -1.223409 -1.144797 -0.060488 -1.554531 -0.567665   \n",
      "505 -2.457799  0.798147  0.680603 -0.221115  0.916495 -1.643212  1.350440   \n",
      "1   -0.581011  0.661790 -1.094139  1.705350 -1.125393  0.910010  0.590032   \n",
      "965 -0.112124  2.114344 -1.426137  0.314121 -0.771549 -0.548006  3.069445   \n",
      "70  -0.733554  1.753741 -1.894252 -1.244993  0.873740 -0.934582  2.364144   \n",
      "\n",
      "           X0        X1  \n",
      "72   0.063538 -0.303198  \n",
      "503  1.012491 -0.415936  \n",
      "58   0.683581 -0.669026  \n",
      "857 -0.309020 -0.026838  \n",
      "875 -0.663331  0.289669  \n",
      "..        ...       ...  \n",
      "101 -0.567665 -1.554531  \n",
      "505  1.350440 -1.643212  \n",
      "1    0.590032  0.910010  \n",
      "965  3.069445 -0.548006  \n",
      "70   2.364144 -0.934582  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 72    -12.586391\n",
      "503    -3.163402\n",
      "58     -3.753323\n",
      "857     4.361211\n",
      "875     1.205333\n",
      "         ...    \n",
      "101    -1.913847\n",
      "505     8.711479\n",
      "1      11.125450\n",
      "965    19.735711\n",
      "70     15.668385\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 72     False\n",
      "503    False\n",
      "58     False\n",
      "857     True\n",
      "875     True\n",
      "       ...  \n",
      "101     True\n",
      "505     True\n",
      "1       True\n",
      "965     True\n",
      "70      True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "388 -1.737764  0.579226 -0.996179  0.571709  0.179947  0.265540  1.413841   \n",
      "721  0.151053 -0.186372 -2.078046  0.489469 -0.482097 -1.560702  0.955690   \n",
      "530 -0.970691 -0.230353 -1.122322  0.705896 -0.676484 -1.535906  1.770396   \n",
      "375 -1.706684 -0.608418 -0.324004 -0.367281 -0.953427 -1.326523  1.412785   \n",
      "795 -1.193762  1.727405 -1.310480 -0.078728  0.061590  0.338880 -0.823927   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "784 -1.361975  0.925987 -1.238230  0.154941 -0.219589  2.112740  1.850467   \n",
      "706 -0.579411  2.152504  0.049398 -0.124011  0.829518 -0.821826  2.406820   \n",
      "452 -1.161144  1.447375  0.366940  1.502686 -0.832247 -2.464888  0.619286   \n",
      "250 -2.076800  2.575995 -3.396775  0.000262  0.176806 -0.916428 -0.759909   \n",
      "401 -1.900223  1.367527 -1.583811  1.389221 -0.270817  0.195192  0.439579   \n",
      "\n",
      "           X0        X1  \n",
      "388  1.413841  0.265540  \n",
      "721  0.955690 -1.560702  \n",
      "530  1.770396 -1.535906  \n",
      "375  1.412785 -1.326523  \n",
      "795 -0.823927  0.338880  \n",
      "..        ...       ...  \n",
      "784  1.850467  2.112740  \n",
      "706  2.406820 -0.821826  \n",
      "452  0.619286 -2.464888  \n",
      "250 -0.759909 -0.916428  \n",
      "401  0.439579  0.195192  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 388    -4.782170\n",
      "721     9.936280\n",
      "530    10.101463\n",
      "375     3.740574\n",
      "795     5.028396\n",
      "         ...    \n",
      "784    14.827481\n",
      "706    19.485830\n",
      "452     7.577603\n",
      "250     2.593009\n",
      "401     7.798611\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 388    False\n",
      "721     True\n",
      "530     True\n",
      "375     True\n",
      "795     True\n",
      "       ...  \n",
      "784     True\n",
      "706     True\n",
      "452     True\n",
      "250     True\n",
      "401     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9472\n",
      "INFO:causalml:    RMSE (Treatment):     1.0280\n",
      "INFO:causalml:   sMAPE   (Control):     0.5266\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1841\n",
      "INFO:causalml:    Gini   (Control):     0.7202\n",
      "INFO:causalml:    Gini (Treatment):     0.9863\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1008\n",
      "INFO:causalml:    RMSE (Treatment):     1.0163\n",
      "INFO:causalml:   sMAPE   (Control):     0.5614\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1746\n",
      "INFO:causalml:    Gini   (Control):     0.7255\n",
      "INFO:causalml:    Gini (Treatment):     0.9873\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "575 -1.604112  1.420476 -0.119304  2.071894 -1.150966 -0.098560 -1.312888   \n",
      "145 -2.738138  1.417467 -0.765806  0.714971  0.420035  0.129769  0.212606   \n",
      "801 -0.175570  1.353509 -0.480641 -0.622820  1.012828 -1.661558  0.661143   \n",
      "890 -1.229726  2.226561 -0.836272 -0.359287 -0.680700 -0.737701 -0.350118   \n",
      "338  0.185464  2.399160 -0.341294  0.318392  0.001034 -1.870320  1.383703   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "87  -1.335835  1.166508 -2.310867  1.215919  0.564484  0.080287 -0.101429   \n",
      "396 -0.179289 -2.035594 -1.104917 -1.327889 -1.528992  0.540613  0.405879   \n",
      "535 -0.407648 -0.494758 -0.724853  0.480031 -0.544243 -1.247736  2.925960   \n",
      "853 -0.576296  1.875702 -0.953840 -2.121049  0.646644  0.852404  0.526995   \n",
      "122 -2.744112 -0.432944 -1.275036  0.830403  0.123720 -1.720654  0.565414   \n",
      "\n",
      "           X0        X1  \n",
      "575 -1.312888 -0.098560  \n",
      "145  0.212606  0.129769  \n",
      "801  0.661143 -1.661558  \n",
      "890 -0.350118 -0.737701  \n",
      "338  1.383703 -1.870320  \n",
      "..        ...       ...  \n",
      "87  -0.101429  0.080287  \n",
      "396  0.405879  0.540613  \n",
      "535  2.925960 -1.247736  \n",
      "853  0.526995  0.852404  \n",
      "122  0.565414 -1.720654  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 575     1.988673\n",
      "145    -4.715614\n",
      "801    13.424745\n",
      "890    -3.809211\n",
      "338    14.613827\n",
      "         ...    \n",
      "87      8.347375\n",
      "396    -9.105144\n",
      "535    16.319324\n",
      "853    11.211181\n",
      "122    -8.281570\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 575     True\n",
      "145    False\n",
      "801     True\n",
      "890    False\n",
      "338     True\n",
      "       ...  \n",
      "87      True\n",
      "396    False\n",
      "535     True\n",
      "853     True\n",
      "122    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "570 -0.251892  2.217378  0.128972  0.877789 -2.406003 -0.913432 -1.619846   \n",
      "138  0.573441  0.791258 -0.393677  1.597789 -1.053529  0.436214  0.005347   \n",
      "175 -1.239073  0.705045 -0.631863  0.820378  0.228619 -1.240018  2.829001   \n",
      "177 -2.041704  0.339386  1.887360  0.853861  0.079121 -1.425156  2.631870   \n",
      "507 -1.566631 -0.152512 -1.731438  0.974744 -1.418661 -1.855128  0.857973   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "341 -1.380210  0.251500  2.155730 -1.460049 -0.465035 -1.399468  0.820430   \n",
      "882 -2.200841  0.473423 -1.663119 -0.534963  0.991635 -1.095692 -0.001438   \n",
      "52   0.272559  1.264574  0.920277  1.558250 -1.276324  0.140228 -0.269838   \n",
      "126 -0.180520  2.109796  0.497949 -0.657129 -0.339303 -1.753526  0.177609   \n",
      "191 -0.095375 -0.266770 -1.843198  0.164677 -1.451439  0.072266  0.011743   \n",
      "\n",
      "           X0        X1  \n",
      "570 -1.619846 -0.913432  \n",
      "138  0.005347  0.436214  \n",
      "175  2.829001 -1.240018  \n",
      "177  2.631870 -1.425156  \n",
      "507  0.857973 -1.855128  \n",
      "..        ...       ...  \n",
      "341  0.820430 -1.399468  \n",
      "882 -0.001438 -1.095692  \n",
      "52  -0.269838  0.140228  \n",
      "126  0.177609 -1.753526  \n",
      "191  0.011743  0.072266  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 570    -0.557158\n",
      "138    11.274922\n",
      "175    17.721185\n",
      "177    13.887378\n",
      "507    -8.258449\n",
      "         ...    \n",
      "341     5.872196\n",
      "882    -4.513230\n",
      "52      9.973921\n",
      "126     9.175909\n",
      "191    -5.492128\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 570     True\n",
      "138     True\n",
      "175     True\n",
      "177     True\n",
      "507    False\n",
      "       ...  \n",
      "341     True\n",
      "882    False\n",
      "52      True\n",
      "126     True\n",
      "191    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.8388\n",
      "INFO:causalml:    RMSE (Treatment):     0.9421\n",
      "INFO:causalml:   sMAPE   (Control):     0.4387\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1767\n",
      "INFO:causalml:    Gini   (Control):     0.7289\n",
      "INFO:causalml:    Gini (Treatment):     0.9871\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "674 -1.275184  1.358200 -0.726155 -0.106801  1.792994 -0.003869 -0.927698   \n",
      "170 -1.230840  2.762799 -1.489235  0.316969 -0.664481 -0.677436 -0.700865   \n",
      "364 -1.093882  1.445454  1.445245 -0.311255 -1.621083 -0.424070  1.006841   \n",
      "454 -0.414301  0.374911 -0.825270  0.696024 -1.912538 -0.252441  2.359192   \n",
      "1   -0.546745  0.560050 -1.029776  1.825449 -1.022233  0.862300  0.474211   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "301 -0.716979 -0.937502  0.498046  0.779203 -0.393113 -1.010865  1.063551   \n",
      "209 -0.084613  0.739022 -1.232722 -0.059404  1.067833 -0.912770 -0.696018   \n",
      "139 -1.718548  0.936408  0.545828  0.020241  0.924205 -0.693409  1.116505   \n",
      "982 -0.800873  0.522693 -0.407466 -0.942755  0.556857 -1.488190  1.116656   \n",
      "353 -0.057680  1.006295 -0.067730 -0.207153 -1.318915  0.302234  2.503398   \n",
      "\n",
      "           X0        X1  \n",
      "674 -0.927698 -0.003869  \n",
      "170 -0.700865 -0.677436  \n",
      "364  1.006841 -0.424070  \n",
      "454  2.359192 -0.252441  \n",
      "1    0.474211  0.862300  \n",
      "..        ...       ...  \n",
      "301  1.063551 -1.010865  \n",
      "209 -0.696018 -0.912770  \n",
      "139  1.116505 -0.693409  \n",
      "982  1.116656 -1.488190  \n",
      "353  2.503398  0.302234  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 674     9.459822\n",
      "170    -2.441764\n",
      "364     7.693260\n",
      "454    12.121477\n",
      "1      11.125450\n",
      "         ...    \n",
      "301     9.391349\n",
      "209     8.004465\n",
      "139    11.778033\n",
      "982    12.003112\n",
      "353    16.031327\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 674     True\n",
      "170    False\n",
      "364     True\n",
      "454     True\n",
      "1       True\n",
      "       ...  \n",
      "301     True\n",
      "209     True\n",
      "139     True\n",
      "982     True\n",
      "353     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "996 -2.971085  1.947352 -0.453038  1.635119  1.145276  1.018412  2.208047   \n",
      "524 -0.145506  0.713185 -0.266433 -0.617454  0.114717 -0.278091  2.170591   \n",
      "450  0.200883  0.403165  0.126127  1.144775 -0.779232 -1.787856 -2.799749   \n",
      "697 -0.708518  0.657108 -1.175912  0.534101 -0.825237 -2.467847  0.026325   \n",
      "396 -0.268793 -2.167808 -1.130802 -1.329649 -1.476917  0.552037  0.543689   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "370 -1.308630  0.430302 -1.112576  0.925546 -1.404983 -0.084853  0.940627   \n",
      "918 -1.811025  1.249892  0.812562  0.987837 -0.536020 -0.154597  1.555279   \n",
      "453 -1.161964 -0.627300 -0.312053  1.010994 -0.420745 -0.378774 -0.314639   \n",
      "196 -2.030011  1.175683 -1.086168 -0.637678 -1.431378 -1.200674  0.660302   \n",
      "73  -0.751418  0.109541 -0.967291  1.512617 -1.724470 -0.846512  3.628383   \n",
      "\n",
      "           X0        X1  \n",
      "996  2.208047  1.018412  \n",
      "524  2.170591 -0.278091  \n",
      "450 -2.799749 -1.787856  \n",
      "697  0.026325 -2.467847  \n",
      "396  0.543689  0.552037  \n",
      "..        ...       ...  \n",
      "370  0.940627 -0.084853  \n",
      "918  1.555279 -0.154597  \n",
      "453 -0.314639 -0.378774  \n",
      "196  0.660302 -1.200674  \n",
      "73   3.628383 -0.846512  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 996    17.211685\n",
      "524    18.575304\n",
      "450    -2.499583\n",
      "697     3.459264\n",
      "396    -9.105144\n",
      "         ...    \n",
      "370     6.533270\n",
      "918    12.845128\n",
      "453     4.442757\n",
      "196     1.676450\n",
      "73     16.038810\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 996     True\n",
      "524     True\n",
      "450     True\n",
      "697     True\n",
      "396    False\n",
      "       ...  \n",
      "370     True\n",
      "918     True\n",
      "453     True\n",
      "196     True\n",
      "73      True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    RMSE   (Control):     3.1302\n",
      "INFO:causalml:    RMSE (Treatment):     0.9367\n",
      "INFO:causalml:   sMAPE   (Control):     0.5797\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1733\n",
      "INFO:causalml:    Gini   (Control):     0.7355\n",
      "INFO:causalml:    Gini (Treatment):     0.9891\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0294\n",
      "INFO:causalml:    RMSE (Treatment):     0.9617\n",
      "INFO:causalml:   sMAPE   (Control):     0.5461\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1705\n",
      "INFO:causalml:    Gini   (Control):     0.7490\n",
      "INFO:causalml:    Gini (Treatment):     0.9879\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1241\n",
      "INFO:causalml:    RMSE (Treatment):     1.0540\n",
      "INFO:causalml:   sMAPE   (Control):     0.4882\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1936\n",
      "INFO:causalml:    Gini   (Control):     0.7337\n",
      "INFO:causalml:    Gini (Treatment):     0.9856\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "75  -0.757333 -0.712916  0.105189 -0.080202 -0.707051  1.598623  2.093872   \n",
      "102 -0.409235 -0.541200 -1.639509  1.664483  0.141387 -1.093047  0.767702   \n",
      "814  0.343624  2.428392 -0.183959  0.104039 -0.569434 -1.234335 -0.143349   \n",
      "709  0.787223  0.949325  1.536416  0.009398 -0.989808 -1.695050  1.432090   \n",
      "538 -1.220204  2.286013  0.177264  1.391621  1.819995 -2.184618  0.889050   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "898 -1.313018  1.847124 -0.969984  1.714070  0.632784 -1.628770  2.241001   \n",
      "976  0.092232  0.422641 -0.635967 -0.206560  0.383167 -1.439808 -0.728771   \n",
      "432 -1.903219  0.642305  0.263048  0.563384  0.242865 -0.227973  0.052633   \n",
      "989 -1.398945  1.910521  2.088727  0.018377 -1.371115  0.390374  1.342492   \n",
      "534 -2.308233 -0.613270 -3.890913 -0.742875 -0.127011 -1.237730  0.209115   \n",
      "\n",
      "           X0        X1  \n",
      "75   2.093872  1.598623  \n",
      "102  0.767702 -1.093047  \n",
      "814 -0.143349 -1.234335  \n",
      "709  1.432090 -1.695050  \n",
      "538  0.889050 -2.184618  \n",
      "..        ...       ...  \n",
      "898  2.241001 -1.628770  \n",
      "976 -0.728771 -1.439808  \n",
      "432  0.052633 -0.227973  \n",
      "989  1.342492  0.390374  \n",
      "534  0.209115 -1.237730  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 75     -4.842126\n",
      "102    12.024923\n",
      "814     8.970856\n",
      "709    14.547782\n",
      "538    16.761939\n",
      "         ...    \n",
      "898    17.331546\n",
      "976     5.822048\n",
      "432     6.046513\n",
      "989    11.211139\n",
      "534   -10.998817\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 75     False\n",
      "102     True\n",
      "814     True\n",
      "709     True\n",
      "538     True\n",
      "       ...  \n",
      "898     True\n",
      "976     True\n",
      "432     True\n",
      "989     True\n",
      "534    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "325 -0.989731  0.780426 -0.471838  0.421229 -0.502973 -1.145870 -1.010960   \n",
      "816 -0.350574  0.965547 -0.381352 -0.638433 -2.333646 -1.730109 -0.276716   \n",
      "556 -1.366154  0.375266 -0.654065 -1.339450 -0.190017 -2.154392 -0.115430   \n",
      "769 -1.938171  0.734708 -0.308602 -0.203508 -0.249352  0.168703  1.681798   \n",
      "227 -0.762855  1.853916 -0.703500  1.230172  0.001538 -1.531708  0.454908   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "536 -1.368469  0.234808 -0.581402 -0.272878 -0.204108  1.257436 -1.011244   \n",
      "585  0.915123  0.401585 -0.227586  0.532163 -0.063974  0.580786  0.861562   \n",
      "331 -1.142880  1.570995 -1.097257  0.688392  0.264632 -1.329392  0.596813   \n",
      "913 -1.821448  0.201364 -0.282816  2.146074  0.067142 -0.281985  0.904230   \n",
      "67  -0.957141  0.080458 -0.232750  0.945741 -0.507281 -2.479363 -1.488055   \n",
      "\n",
      "           X0        X1  \n",
      "325 -1.010960 -1.145870  \n",
      "816 -0.276716 -1.730109  \n",
      "556 -0.115430 -2.154392  \n",
      "769  1.681798  0.168703  \n",
      "227  0.454908 -1.531708  \n",
      "..        ...       ...  \n",
      "536 -1.011244  1.257436  \n",
      "585  0.861562  0.580786  \n",
      "331  0.596813 -1.329392  \n",
      "913  0.904230 -0.281985  \n",
      "67  -1.488055 -2.479363  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 325     1.470513\n",
      "816    -0.020121\n",
      "556     0.746452\n",
      "769    -5.821681\n",
      "227     9.555874\n",
      "         ...    \n",
      "536     3.123954\n",
      "585    17.683899\n",
      "331    10.231377\n",
      "913    10.638397\n",
      "67     -0.972001\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 325     True\n",
      "816     True\n",
      "556     True\n",
      "769    False\n",
      "227     True\n",
      "       ...  \n",
      "536     True\n",
      "585     True\n",
      "331     True\n",
      "913     True\n",
      "67      True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9356\n",
      "INFO:causalml:    RMSE (Treatment):     0.9295\n",
      "INFO:causalml:   sMAPE   (Control):     0.4843\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1740\n",
      "INFO:causalml:    Gini   (Control):     0.7237\n",
      "INFO:causalml:    Gini (Treatment):     0.9879\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.8735\n",
      "INFO:causalml:    RMSE (Treatment):     0.9463\n",
      "INFO:causalml:   sMAPE   (Control):     0.4996\n",
      "INFO:causalml:   sMAPE (Treatment):     0.2070\n",
      "INFO:causalml:    Gini   (Control):     0.7439\n",
      "INFO:causalml:    Gini (Treatment):     0.9887\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "864 -1.378966  1.163425 -1.222624 -1.350334 -1.365408 -0.717210  0.466981   \n",
      "87  -1.256415  1.284809 -2.247451  1.167455  0.624770 -0.131766  0.037739   \n",
      "735 -0.714745  0.352892 -2.026534 -0.469867  0.867790 -1.244862  2.108344   \n",
      "970 -1.482619  1.751589  1.381131 -0.789499 -0.669645 -1.595394 -0.017023   \n",
      "872 -0.693148  1.474590  0.515663 -1.858463  0.370774  0.060584  0.865481   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "425 -0.549250  0.962562  0.366956  0.492343 -0.240984 -1.775844  1.552650   \n",
      "916 -2.362087  0.484083 -0.342292  0.332559  0.423326  0.218083 -0.177975   \n",
      "85  -1.540931  1.480379 -0.472548 -0.111599 -0.965064 -2.732768 -0.265116   \n",
      "357 -0.515377 -0.879357 -0.706456 -0.752520 -0.279704  0.325564 -0.580021   \n",
      "216 -1.361145  1.753494 -2.439841 -1.078344 -0.815397 -1.262698 -0.057730   \n",
      "\n",
      "           X0        X1  \n",
      "864  0.466981 -0.717210  \n",
      "87   0.037739 -0.131766  \n",
      "735  2.108344 -1.244862  \n",
      "970 -0.017023 -1.595394  \n",
      "872  0.865481  0.060584  \n",
      "..        ...       ...  \n",
      "425  1.552650 -1.775844  \n",
      "916 -0.177975  0.218083  \n",
      "85  -0.265116 -2.732768  \n",
      "357 -0.580021  0.325564  \n",
      "216 -0.057730 -1.262698  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 864    -8.539115\n",
      "87      8.347375\n",
      "735    15.212283\n",
      "970     3.837965\n",
      "872    11.901044\n",
      "         ...    \n",
      "425    13.323890\n",
      "916     4.529654\n",
      "85     -0.384362\n",
      "357     4.629609\n",
      "216     2.376140\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 864    False\n",
      "87      True\n",
      "735     True\n",
      "970     True\n",
      "872     True\n",
      "       ...  \n",
      "425     True\n",
      "916     True\n",
      "85      True\n",
      "357     True\n",
      "216     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "816 -0.388047  0.924588 -0.476783 -1.002072 -2.281807 -1.966699 -0.420618   \n",
      "275 -2.213287 -0.386113  0.142531  1.807303 -0.624429 -1.486348 -1.323718   \n",
      "999 -1.667723  0.404085 -0.014222  0.372220 -1.571434 -0.354246 -0.497524   \n",
      "404  0.251516 -1.381578 -0.688007  1.323307 -0.512810  0.842583 -0.338387   \n",
      "213 -0.847340  1.190321 -0.327402  1.416738 -1.672036 -0.540066  0.231177   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "891 -0.268138 -0.445246 -0.878929  1.526581  0.791018  0.110399  1.971061   \n",
      "247 -1.091098  0.094910  0.672182  0.926585 -0.317620 -1.799480 -0.591769   \n",
      "762  0.248716  0.722264 -0.871655  0.522479 -0.891556  0.275079  2.329206   \n",
      "110 -1.976096  2.523392 -0.612924  1.400103 -0.539657  0.638363  0.916249   \n",
      "398 -0.408833  1.392336 -1.118775  0.410265 -1.701998 -1.404167  0.136762   \n",
      "\n",
      "           X0        X1  \n",
      "816 -0.420618 -1.966699  \n",
      "275 -1.323718 -1.486348  \n",
      "999 -0.497524 -0.354246  \n",
      "404 -0.338387  0.842583  \n",
      "213  0.231177 -0.540066  \n",
      "..        ...       ...  \n",
      "891  1.971061  0.110399  \n",
      "247 -0.591769 -1.799480  \n",
      "762  2.329206  0.275079  \n",
      "110  0.916249  0.638363  \n",
      "398  0.136762 -1.404167  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 816    -0.020121\n",
      "275    -1.163599\n",
      "999    -8.100697\n",
      "404    -1.323791\n",
      "213     5.306177\n",
      "         ...    \n",
      "891    20.166272\n",
      "247     3.320266\n",
      "762    17.175897\n",
      "110    11.934711\n",
      "398    -5.105764\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 816     True\n",
      "275     True\n",
      "999    False\n",
      "404    False\n",
      "213     True\n",
      "       ...  \n",
      "891     True\n",
      "247     True\n",
      "762     True\n",
      "110     True\n",
      "398    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "26   0.023678  0.058490  0.106981  2.666127 -0.511525 -1.991283  2.058464   \n",
      "631  0.511913  2.280563 -1.197253  1.562609 -0.215902 -1.020548  0.298896   \n",
      "591 -1.917706  1.021035  1.482307  0.291711 -0.439067 -0.077290 -0.568812   \n",
      "936 -0.469196 -1.072774 -0.445154 -0.658563 -0.924928 -2.700354  1.236708   \n",
      "221 -1.078034  0.828821 -1.093313 -0.510332 -2.243030  1.374379  0.571832   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "231 -1.059865  1.882541 -0.203531  0.417511  1.029628 -1.972507  1.683474   \n",
      "45  -0.813366  0.618802  0.665742 -0.174151 -1.195950 -0.202764  1.213446   \n",
      "897 -0.522876 -0.893288 -1.382943  0.031426 -0.364126 -0.181860 -0.365989   \n",
      "79  -0.920979  0.756543  0.729420  0.835588 -0.316096 -0.910696  0.700811   \n",
      "338  0.143678  2.424775 -0.366023  0.065665 -0.229007 -1.673547  1.227384   \n",
      "\n",
      "           X0        X1  \n",
      "26   2.058464 -1.991283  \n",
      "631  0.298896 -1.020548  \n",
      "591 -0.568812 -0.077290  \n",
      "936  1.236708 -2.700354  \n",
      "221  0.571832  1.374379  \n",
      "..        ...       ...  \n",
      "231  1.683474 -1.972507  \n",
      "45   1.213446 -0.202764  \n",
      "897 -0.365989 -0.181860  \n",
      "79   0.700811 -0.910696  \n",
      "338  1.227384 -1.673547  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 26     17.468518\n",
      "631    14.220450\n",
      "591     3.407731\n",
      "936     4.998172\n",
      "221   -10.175373\n",
      "         ...    \n",
      "231    16.734242\n",
      "45      9.275797\n",
      "897    -4.566144\n",
      "79     10.632327\n",
      "338    14.613827\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 26      True\n",
      "631     True\n",
      "591     True\n",
      "936     True\n",
      "221    False\n",
      "       ...  \n",
      "231     True\n",
      "45      True\n",
      "897    False\n",
      "79      True\n",
      "338     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.8528\n",
      "INFO:causalml:    RMSE (Treatment):     0.9856\n",
      "INFO:causalml:   sMAPE   (Control):     0.4977\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1629\n",
      "INFO:causalml:    Gini   (Control):     0.7488\n",
      "INFO:causalml:    Gini (Treatment):     0.9862\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.2241\n",
      "INFO:causalml:    RMSE (Treatment):     0.9317\n",
      "INFO:causalml:   sMAPE   (Control):     0.5776\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1543\n",
      "INFO:causalml:    Gini   (Control):     0.6994\n",
      "INFO:causalml:    Gini (Treatment):     0.9888\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "663  1.078179  0.156226  0.446981 -0.052989 -0.182723  0.688062  0.799450   \n",
      "959 -1.315478  1.172398 -1.866088  0.694998  0.951762  1.571519 -1.076170   \n",
      "542  0.662810  2.174263 -1.541615  1.123954 -0.612563  0.523472 -0.491306   \n",
      "213 -1.155594  1.235499 -0.292570  1.237619 -1.615249 -0.939958  0.070592   \n",
      "625 -1.321971  0.223750  0.478791 -0.019464  1.090621 -0.805170  1.259184   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "9    0.192989  0.814800  1.424924 -1.145901 -0.763888  0.669395 -0.203615   \n",
      "19  -0.477455 -0.356164 -0.890055  2.177785 -1.006223 -1.615244  0.088047   \n",
      "830 -0.723356 -0.566580  0.276901  2.035714 -0.231138 -1.251536  1.154490   \n",
      "343 -1.264323  1.803949  0.915137 -1.755312 -0.898431 -0.865052  0.358412   \n",
      "818 -2.114619  0.956673  0.047994  0.222962 -2.378329 -0.680649  1.045604   \n",
      "\n",
      "           X0        X1  \n",
      "663  0.799450  0.688062  \n",
      "959 -1.076170  1.571519  \n",
      "542 -0.491306  0.523472  \n",
      "213  0.070592 -0.939958  \n",
      "625  1.259184 -0.805170  \n",
      "..        ...       ...  \n",
      "9   -0.203615  0.669395  \n",
      "19   0.088047 -1.615244  \n",
      "830  1.154490 -1.251536  \n",
      "343  0.358412 -0.865052  \n",
      "818  1.045604 -0.680649  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 663    15.384533\n",
      "959     7.562645\n",
      "542    12.169721\n",
      "213     5.306177\n",
      "625    12.619755\n",
      "         ...    \n",
      "9       8.755592\n",
      "19      6.700542\n",
      "830    -1.062782\n",
      "343     4.731928\n",
      "818   -11.770683\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 663     True\n",
      "959     True\n",
      "542     True\n",
      "213     True\n",
      "625     True\n",
      "       ...  \n",
      "9       True\n",
      "19      True\n",
      "830    False\n",
      "343     True\n",
      "818    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "835  0.306562 -0.032909 -0.403386 -1.002239  1.594554  0.150366  1.873825   \n",
      "630 -1.828867  0.706688 -0.076602 -1.285112  0.444461  1.199891  1.358834   \n",
      "770 -2.884794  0.052229 -1.146703 -0.461669 -1.249223  0.455205  0.867935   \n",
      "338  0.066256  2.294859 -0.250545  0.034695 -0.068221 -1.912920  1.239046   \n",
      "574 -0.511164  0.093076 -1.210577  1.056846 -0.482827 -1.004801 -0.190245   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "336 -3.046083  1.587357  0.558987  1.342059 -0.764320 -2.113244  0.925285   \n",
      "95  -0.079302  4.714852  0.818300  0.292822 -0.515397 -2.804820 -0.486523   \n",
      "713 -0.536668  2.005241 -1.347787  1.364096 -0.445617 -0.789056 -0.185889   \n",
      "97  -0.694538 -0.132024  0.177391  0.442854  0.698154  0.802542  1.319311   \n",
      "375 -1.959415 -0.308475 -0.556457 -0.497601 -0.924967 -1.428880  1.441709   \n",
      "\n",
      "           X0        X1  \n",
      "835  1.873825  0.150366  \n",
      "630  1.358834  1.199891  \n",
      "770  0.867935  0.455205  \n",
      "338  1.239046 -1.912920  \n",
      "574 -0.190245 -1.004801  \n",
      "..        ...       ...  \n",
      "336  0.925285 -2.113244  \n",
      "95  -0.486523 -2.804820  \n",
      "713 -0.185889 -0.789056  \n",
      "97   1.319311  0.802542  \n",
      "375  1.441709 -1.428880  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 835    20.490073\n",
      "630    11.111329\n",
      "770   -12.067607\n",
      "338    14.613827\n",
      "574     5.633909\n",
      "         ...    \n",
      "336     2.926169\n",
      "95      9.600613\n",
      "713     9.135870\n",
      "97     16.738796\n",
      "375     3.740574\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 835     True\n",
      "630     True\n",
      "770    False\n",
      "338     True\n",
      "574     True\n",
      "       ...  \n",
      "336     True\n",
      "95      True\n",
      "713     True\n",
      "97      True\n",
      "375     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9748\n",
      "INFO:causalml:    RMSE (Treatment):     1.0791\n",
      "INFO:causalml:   sMAPE   (Control):     0.5030\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1791\n",
      "INFO:causalml:    Gini   (Control):     0.7130\n",
      "INFO:causalml:    Gini (Treatment):     0.9842\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.8029\n",
      "INFO:causalml:    RMSE (Treatment):     0.9547\n",
      "INFO:causalml:   sMAPE   (Control):     0.5077\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1519\n",
      "INFO:causalml:    Gini   (Control):     0.7321\n",
      "INFO:causalml:    Gini (Treatment):     0.9868\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9671\n",
      "INFO:causalml:    RMSE (Treatment):     1.0479\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "349 -1.721742  0.994178 -0.248258  0.170946  0.084045 -0.579222  1.403727   \n",
      "348 -1.015222  2.066811 -1.843225  0.417722 -1.444937 -1.728400  1.654515   \n",
      "243 -3.048965 -0.518166  0.249463  1.413264 -1.336714 -0.364473  0.627325   \n",
      "561 -0.585552 -0.209026 -0.357597  1.027069 -2.551457  0.321784  1.257139   \n",
      "445 -0.080532  0.021305  0.997780  2.976259 -0.609740 -0.540314  1.162446   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "898 -1.390026  1.825700 -0.988322  1.716423  0.559838 -1.567219  2.137330   \n",
      "563 -0.466899 -0.165808 -3.015552  1.193963 -1.463896  1.092221  0.453459   \n",
      "573  0.212725  1.077798 -1.054672  1.956676 -1.734482 -1.164064 -1.007024   \n",
      "315 -0.646043  0.204124  1.405069  1.427420  0.253353 -0.779818  0.430896   \n",
      "416 -1.034436  0.322248 -0.198104 -0.459426 -0.633344 -1.344082 -0.073182   \n",
      "\n",
      "           X0        X1  \n",
      "349  1.403727 -0.579222  \n",
      "348  1.654515 -1.728400  \n",
      "243  0.627325 -0.364473  \n",
      "561  1.257139  0.321784  \n",
      "445  1.162446 -0.540314  \n",
      "..        ...       ...  \n",
      "898  2.137330 -1.567219  \n",
      "563  0.453459  1.092221  \n",
      "573 -1.007024 -1.164064  \n",
      "315  0.430896 -0.779818  \n",
      "416 -0.073182 -1.344082  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 349    10.315484\n",
      "348     9.469476\n",
      "243   -10.483545\n",
      "561     8.271140\n",
      "445    16.120442\n",
      "         ...    \n",
      "898    17.331546\n",
      "563    -5.142521\n",
      "573     3.364299\n",
      "315    11.545213\n",
      "416     2.647910\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 349     True\n",
      "348     True\n",
      "243    False\n",
      "561     True\n",
      "445     True\n",
      "       ...  \n",
      "898     True\n",
      "563    False\n",
      "573     True\n",
      "315     True\n",
      "416     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "177 -1.922237  0.485077  1.631578  0.819498  0.107530 -1.224345  2.252789   \n",
      "248 -0.342131  0.605659 -1.673302  0.453481  1.089323 -0.869957 -0.334178   \n",
      "519 -1.082507  1.630724 -0.037752  0.137577 -1.415357 -0.872408  0.516459   \n",
      "54   1.568927  2.117927  1.208255  0.531668 -1.185251 -0.768777 -0.675083   \n",
      "993 -0.932022  0.529658 -0.377867  0.116624 -0.725836  0.124112  1.236988   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "698 -1.138849  1.739492  0.295478  1.372403 -1.312977  0.210428  0.045664   \n",
      "135 -1.665508  2.299056 -1.063216  1.214164 -3.322477 -0.037896  0.924240   \n",
      "681 -0.842081  1.444749  0.741345 -0.852470  1.257753 -0.079214  1.672446   \n",
      "535 -0.646823 -0.444539 -0.586156  0.504034 -0.294741 -1.590632  3.031652   \n",
      "135 -1.574404  2.295451 -1.082528  1.400681 -3.205474  0.187770  0.662262   \n",
      "\n",
      "           X0        X1  \n",
      "177  2.252789 -1.224345  \n",
      "248 -0.334178 -0.869957  \n",
      "519  0.516459 -0.872408  \n",
      "54  -0.675083 -0.768777  \n",
      "993  1.236988  0.124112  \n",
      "..        ...       ...  \n",
      "698  0.045664  0.210428  \n",
      "135  0.924240 -0.037896  \n",
      "681  1.672446 -0.079214  \n",
      "535  3.031652 -1.590632  \n",
      "135  0.662262  0.187770  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 177    13.887378\n",
      "248    10.511960\n",
      "519     6.513308\n",
      "54      9.737109\n",
      "993    10.904694\n",
      "         ...    \n",
      "698     7.381116\n",
      "135     2.418843\n",
      "681    18.090454\n",
      "535    16.319324\n",
      "135     2.418843\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 177    True\n",
      "248    True\n",
      "519    True\n",
      "54     True\n",
      "993    True\n",
      "       ... \n",
      "698    True\n",
      "135    True\n",
      "681    True\n",
      "535    True\n",
      "135    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE   (Control):     0.5210\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1817\n",
      "INFO:causalml:    Gini   (Control):     0.7762\n",
      "INFO:causalml:    Gini (Treatment):     0.9860\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.8423\n",
      "INFO:causalml:    RMSE (Treatment):     0.9524\n",
      "INFO:causalml:   sMAPE   (Control):     0.4624\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1790\n",
      "INFO:causalml:    Gini   (Control):     0.7398\n",
      "INFO:causalml:    Gini (Treatment):     0.9876\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9004\n",
      "INFO:causalml:    RMSE (Treatment):     0.9385\n",
      "INFO:causalml:   sMAPE   (Control):     0.4947\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1545\n",
      "INFO:causalml:    Gini   (Control):     0.7617\n",
      "INFO:causalml:    Gini (Treatment):     0.9878\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "724 -1.438144 -0.332737  0.392911  0.212140 -0.665798  0.343149  0.757040   \n",
      "751 -0.401081 -0.175121 -0.010361 -0.048220 -0.675733 -1.009049  1.318978   \n",
      "687  0.182106  0.577860 -1.602666  1.575414 -0.252950 -0.201800  2.081642   \n",
      "294  0.691661  0.305707 -0.276849  0.436226 -0.938440 -1.498923 -0.104459   \n",
      "100 -1.136832  1.936971 -0.818190  2.375104 -0.480383 -1.567064  1.095914   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "311 -0.539638 -0.734239  0.330032 -0.759054 -1.973271 -0.025732  1.392467   \n",
      "92  -1.274988  0.222087 -0.171338  0.406686  0.299645 -1.318381  0.211155   \n",
      "280 -0.980919 -0.636800 -0.822122 -0.528152 -0.459369 -1.805989  1.034790   \n",
      "948  0.160932  0.722128  0.042512 -0.375004 -1.753827 -0.357351  0.838413   \n",
      "668 -0.174736  0.461147  0.483940 -0.073567 -1.070415 -0.771726  1.044764   \n",
      "\n",
      "           X0        X1  \n",
      "724  0.757040  0.343149  \n",
      "751  1.318978 -1.009049  \n",
      "687  2.081642 -0.201800  \n",
      "294 -0.104459 -1.498923  \n",
      "100  1.095914 -1.567064  \n",
      "..        ...       ...  \n",
      "311  1.392467 -0.025732  \n",
      "92   0.211155 -1.318381  \n",
      "280  1.034790 -1.805989  \n",
      "948  0.838413 -0.357351  \n",
      "668  1.044764 -0.771726  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 724     7.856564\n",
      "751    10.177478\n",
      "687    19.701253\n",
      "294     8.885443\n",
      "100    11.113321\n",
      "         ...    \n",
      "311     6.548500\n",
      "92      7.646588\n",
      "280     5.994137\n",
      "948     9.814477\n",
      "668    10.579344\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 724    True\n",
      "751    True\n",
      "687    True\n",
      "294    True\n",
      "100    True\n",
      "       ... \n",
      "311    True\n",
      "92     True\n",
      "280    True\n",
      "948    True\n",
      "668    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "51  -0.271968  0.458390  1.267380 -0.199087 -0.197657 -0.538826 -0.226384   \n",
      "10   0.970625  3.067773  0.223898  2.879977  0.834710 -1.322450  1.055600   \n",
      "975 -0.912818  0.808119  0.283279  1.816216 -0.525104 -1.245342  0.897152   \n",
      "290  0.454061 -1.064971  0.315819 -0.383260  0.775556 -1.332200  0.745180   \n",
      "642 -1.271036  0.321130 -1.184572  0.813957 -0.373138  0.408561 -0.441891   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "23  -1.745951  0.284976 -0.584939  0.009987  0.281503  0.464791  2.089986   \n",
      "905 -1.137892  0.810218  0.339671 -0.323423 -0.825219 -1.534036  0.640463   \n",
      "216 -1.098435  1.733659 -2.455863 -0.949506 -0.900628 -1.484929 -0.096884   \n",
      "28   0.519413 -1.793534 -0.629775 -1.531616 -0.133148 -0.455310 -0.300663   \n",
      "741 -0.663581  2.882579 -1.455952 -0.962903 -1.235194 -0.395429  0.136463   \n",
      "\n",
      "           X0        X1  \n",
      "51  -0.226384 -0.538826  \n",
      "10   1.055600 -1.322450  \n",
      "975  0.897152 -1.245342  \n",
      "290  0.745180 -1.332200  \n",
      "642 -0.441891  0.408561  \n",
      "..        ...       ...  \n",
      "23   2.089986  0.464791  \n",
      "905  0.640463 -1.534036  \n",
      "216 -0.096884 -1.484929  \n",
      "28  -0.300663 -0.455310  \n",
      "741  0.136463 -0.395429  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 51      8.374283\n",
      "10     24.500212\n",
      "975     9.860888\n",
      "290    12.664366\n",
      "642     4.413860\n",
      "         ...    \n",
      "23     -4.601417\n",
      "905    -5.143310\n",
      "216     2.376140\n",
      "28      4.753158\n",
      "741     5.593102\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 51      True\n",
      "10      True\n",
      "975     True\n",
      "290     True\n",
      "642     True\n",
      "       ...  \n",
      "23     False\n",
      "905    False\n",
      "216     True\n",
      "28      True\n",
      "741     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9230\n",
      "INFO:causalml:    RMSE (Treatment):     0.9689\n",
      "INFO:causalml:   sMAPE   (Control):     0.5764\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1908\n",
      "INFO:causalml:    Gini   (Control):     0.7373\n",
      "INFO:causalml:    Gini (Treatment):     0.9894\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9404\n",
      "INFO:causalml:    RMSE (Treatment):     0.9361\n",
      "INFO:causalml:   sMAPE   (Control):     0.5608\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "151 -1.451343  2.117412  0.057350  0.228720 -0.666035  0.318744 -0.507604   \n",
      "289  0.709237 -0.097306 -0.534428  0.454660  1.091187 -1.461089  1.641729   \n",
      "856 -2.090114  0.977529 -2.008539 -0.850157 -2.154341 -2.185380 -0.444760   \n",
      "507 -1.498719 -0.280197 -1.843650  1.012497 -1.428442 -2.318102  0.960008   \n",
      "593 -0.254514  1.059549 -0.632799 -1.430683 -0.380345 -0.097567  0.396568   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "188  1.981869  1.294382 -0.672061  1.002822 -0.906319  0.110632  0.519760   \n",
      "274 -1.441295  1.166923 -1.110185  1.572215 -1.119379 -0.864990  0.912239   \n",
      "688 -0.547513  0.834360 -1.085616 -0.343214 -1.414722 -2.185953  0.446973   \n",
      "173 -1.768526  0.219728 -1.886426  1.139153 -1.269672 -1.316015  0.551071   \n",
      "365 -0.013680 -0.244481  0.764536  0.988104  0.414957 -1.574025  1.368041   \n",
      "\n",
      "           X0        X1  \n",
      "151 -0.507604  0.318744  \n",
      "289  1.641729 -1.461089  \n",
      "856 -0.444760 -2.185380  \n",
      "507  0.960008 -2.318102  \n",
      "593  0.396568 -0.097567  \n",
      "..        ...       ...  \n",
      "188  0.519760  0.110632  \n",
      "274  0.912239 -0.864990  \n",
      "688  0.446973 -2.185953  \n",
      "173  0.551071 -1.316015  \n",
      "365  1.368041 -1.574025  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 151     4.957949\n",
      "289    19.767563\n",
      "856   -13.300039\n",
      "507    -8.258449\n",
      "593     8.505994\n",
      "         ...    \n",
      "188    17.138200\n",
      "274    -4.605752\n",
      "688    -5.466406\n",
      "173    -7.857862\n",
      "365    15.195618\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 151     True\n",
      "289     True\n",
      "856    False\n",
      "507    False\n",
      "593     True\n",
      "       ...  \n",
      "188     True\n",
      "274    False\n",
      "688    False\n",
      "173    False\n",
      "365     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "255  1.133141  2.240067  1.125542 -0.273125 -0.989053 -0.952641  0.326860   \n",
      "574 -0.627392  0.302338 -0.988008  1.136665 -0.486729 -1.072095 -0.240808   \n",
      "571  0.036812 -0.336157  1.466677  0.344865  0.441510 -0.684800  1.410161   \n",
      "914  0.028245  1.206804  0.219451 -0.591808 -0.976701  0.822046  0.977400   \n",
      "602 -2.005434  2.564907 -1.005840  1.727996 -1.563756  0.382768 -1.360408   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "835  0.087010  0.143228 -0.435516 -1.147568  1.888092  0.346188  1.742445   \n",
      "622 -0.937723 -0.820100  0.087610 -0.325510  0.338565 -0.135640  0.278474   \n",
      "425 -0.625617  0.946650  0.343589  0.381559 -0.167683 -1.652701  1.941279   \n",
      "365 -0.018941 -0.296919  0.643877  1.094566  0.281830 -1.407360  1.414953   \n",
      "657 -0.973794  0.735844  0.302811  0.673145  0.283865 -0.848070  0.960780   \n",
      "\n",
      "           X0        X1  \n",
      "255  0.326860 -0.952641  \n",
      "574 -0.240808 -1.072095  \n",
      "571  1.410161 -0.684800  \n",
      "914  0.977400  0.822046  \n",
      "602 -1.360408  0.382768  \n",
      "..        ...       ...  \n",
      "835  1.742445  0.346188  \n",
      "622  0.278474 -0.135640  \n",
      "425  1.941279 -1.652701  \n",
      "365  1.414953 -1.407360  \n",
      "657  0.960780 -0.848070  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 255    13.881950\n",
      "574     5.633909\n",
      "571    16.753939\n",
      "914    12.801840\n",
      "602     1.254728\n",
      "         ...    \n",
      "835    20.490073\n",
      "622     8.845133\n",
      "425    13.323890\n",
      "365    15.195618\n",
      "657    12.117853\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 255    True\n",
      "574    True\n",
      "571    True\n",
      "914    True\n",
      "602    True\n",
      "       ... \n",
      "835    True\n",
      "622    True\n",
      "425    True\n",
      "365    True\n",
      "657    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE (Treatment):     0.1717\n",
      "INFO:causalml:    Gini   (Control):     0.7444\n",
      "INFO:causalml:    Gini (Treatment):     0.9889\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0033\n",
      "INFO:causalml:    RMSE (Treatment):     0.9767\n",
      "INFO:causalml:   sMAPE   (Control):     0.4587\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1761\n",
      "INFO:causalml:    Gini   (Control):     0.7124\n",
      "INFO:causalml:    Gini (Treatment):     0.9873\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9830\n",
      "INFO:causalml:    RMSE (Treatment):     1.0151\n",
      "INFO:causalml:   sMAPE   (Control):     0.4974\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "57  -0.241496  0.341353 -0.879670  0.653348  0.562012 -0.874722  2.321090   \n",
      "946 -0.039226  1.070254  0.817258  1.531369 -0.729411 -1.606529  1.682653   \n",
      "779 -1.350659  0.815369  0.127656  0.103901  0.278969 -0.815212  0.066001   \n",
      "896 -2.432024 -0.896851  1.092218  0.425996 -1.353030 -0.393840 -1.777303   \n",
      "403 -1.548241  2.346455  0.703124  0.469986 -2.174662 -0.597804 -1.659799   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "500 -0.764798 -0.741966  0.661109  1.471012  1.249719 -0.250612  1.784505   \n",
      "353 -0.129342  0.937341 -0.341557  0.065221 -1.231137  0.286639  2.308218   \n",
      "100 -1.378639  1.891778 -0.944875  2.350588 -0.498995 -1.187752  0.950568   \n",
      "384 -0.985811  0.428972 -1.376992 -0.276737 -0.658336  0.236872  0.755765   \n",
      "427  0.428906  0.044837  0.574607  1.415539 -1.691916 -0.202051  1.901581   \n",
      "\n",
      "           X0        X1  \n",
      "57   2.321090 -0.874722  \n",
      "946  1.682653 -1.606529  \n",
      "779  0.066001 -0.815212  \n",
      "896 -1.777303 -0.393840  \n",
      "403 -1.659799 -0.597804  \n",
      "..        ...       ...  \n",
      "500  1.784505 -0.250612  \n",
      "353  2.308218  0.286639  \n",
      "100  0.950568 -1.187752  \n",
      "384  0.755765  0.236872  \n",
      "427  1.901581 -0.202051  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 57     18.788397\n",
      "946    16.526801\n",
      "779     7.001850\n",
      "896    -7.004058\n",
      "403    -3.265557\n",
      "         ...    \n",
      "500    17.859054\n",
      "353    16.031327\n",
      "100    11.113321\n",
      "384    -5.168611\n",
      "427    15.122153\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 57      True\n",
      "946     True\n",
      "779     True\n",
      "896     True\n",
      "403     True\n",
      "       ...  \n",
      "500     True\n",
      "353     True\n",
      "100     True\n",
      "384    False\n",
      "427     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "882 -2.069892  0.626586 -1.832899 -0.427297  1.053283 -0.782349 -0.035057   \n",
      "365 -0.010483 -0.356730  0.588927  1.041733  0.428563 -1.548626  1.165125   \n",
      "645  0.895264  1.665214 -0.241590 -0.355268 -2.385213 -1.247615  0.714368   \n",
      "183 -1.739849  0.790751  0.101503 -0.955607  0.571522  0.000875  0.226301   \n",
      "160 -1.739012  2.249436  0.471353  1.260166  0.195565 -0.286865  1.957172   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "559 -1.348577 -0.508567  0.135080  0.760634 -0.578021 -1.684832  0.011024   \n",
      "536 -1.320728  0.180165 -0.598624 -0.357499 -0.200479  1.283381 -0.942567   \n",
      "387 -1.085304  1.898855 -0.049487 -0.493745  1.112310 -1.294861  2.878083   \n",
      "652 -1.434432 -0.515402 -2.014047  0.739681  0.447348  0.527605 -0.378463   \n",
      "466  0.169418  1.495641 -0.416136  1.897580 -0.623185  0.534709  1.641410   \n",
      "\n",
      "           X0        X1  \n",
      "882 -0.035057 -0.782349  \n",
      "365  1.165125 -1.548626  \n",
      "645  0.714368 -1.247615  \n",
      "183  0.226301  0.000875  \n",
      "160  1.957172 -0.286865  \n",
      "..        ...       ...  \n",
      "559  0.011024 -1.684832  \n",
      "536 -0.942567  1.283381  \n",
      "387  2.878083 -1.294861  \n",
      "652 -0.378463  0.527605  \n",
      "466  1.641410  0.534709  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 882    -4.513230\n",
      "365    15.195618\n",
      "645     8.189153\n",
      "183     5.804148\n",
      "160    15.240536\n",
      "         ...    \n",
      "559     2.992068\n",
      "536     3.123954\n",
      "387    19.096949\n",
      "652    -3.763410\n",
      "466    18.638368\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 882    False\n",
      "365     True\n",
      "645     True\n",
      "183     True\n",
      "160     True\n",
      "       ...  \n",
      "559     True\n",
      "536     True\n",
      "387     True\n",
      "652    False\n",
      "466     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE (Treatment):     0.1793\n",
      "INFO:causalml:    Gini   (Control):     0.7089\n",
      "INFO:causalml:    Gini (Treatment):     0.9869\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1606\n",
      "INFO:causalml:    RMSE (Treatment):     0.9664\n",
      "INFO:causalml:   sMAPE   (Control):     0.5522\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1688\n",
      "INFO:causalml:    Gini   (Control):     0.6994\n",
      "INFO:causalml:    Gini (Treatment):     0.9879\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "62  -0.489888  0.421805 -3.885209 -1.142352 -0.661527 -1.367046  0.190653   \n",
      "701 -0.397797 -1.049307 -0.657659  0.561405 -0.665239  0.960965  1.657074   \n",
      "646 -0.505355  1.022138  0.422064  1.678294 -1.630333 -0.457794  0.460388   \n",
      "698 -1.127903  1.739689  0.090811  1.239873 -1.455543  0.148345 -0.075825   \n",
      "320 -1.348275  1.640355  0.014880 -0.332567 -0.476067  0.113882  1.460478   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "671 -1.830457  1.927874  0.108815  0.686607 -1.445390 -0.412422 -0.739515   \n",
      "227 -0.617478  2.117264 -0.796843  1.345096  0.100885 -1.472998  0.194239   \n",
      "832 -0.635179  1.771168 -0.200905 -0.479498 -0.068345 -1.282431  0.163844   \n",
      "170 -1.176175  2.724439 -1.543883  0.238433 -0.518789 -0.637966 -0.519854   \n",
      "715 -0.437745  0.651706 -0.292567 -1.485070 -1.177736 -0.601624 -0.962816   \n",
      "\n",
      "           X0        X1  \n",
      "62   0.190653 -1.367046  \n",
      "701  1.657074  0.960965  \n",
      "646  0.460388 -0.457794  \n",
      "698 -0.075825  0.148345  \n",
      "320  1.460478  0.113882  \n",
      "..        ...       ...  \n",
      "671 -0.739515 -0.412422  \n",
      "227  0.194239 -1.472998  \n",
      "832  0.163844 -1.282431  \n",
      "170 -0.519854 -0.637966  \n",
      "715 -0.962816 -0.601624  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 62     -5.979631\n",
      "701    13.534369\n",
      "646     9.399353\n",
      "698     7.381116\n",
      "320    11.942735\n",
      "         ...    \n",
      "671    -6.150284\n",
      "227     9.555874\n",
      "832     7.911675\n",
      "170    -2.441764\n",
      "715     0.458874\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 62     False\n",
      "701     True\n",
      "646     True\n",
      "698     True\n",
      "320     True\n",
      "       ...  \n",
      "671    False\n",
      "227     True\n",
      "832     True\n",
      "170    False\n",
      "715     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "173 -1.890919  0.303230 -1.853986  1.086205 -1.063154 -1.480039  0.557782   \n",
      "452 -0.908609  1.446287  0.602898  1.273491 -0.728457 -2.722508  0.638021   \n",
      "362 -2.772817  1.633125  0.477258 -1.222814 -1.376002 -1.625118  0.168268   \n",
      "856 -2.213905  1.100170 -1.873703 -0.831352 -2.196694 -2.148791 -0.410641   \n",
      "778 -2.232317 -0.354925  0.024290  0.391985  0.347478 -1.752844  0.687425   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "648  0.687883 -0.708345  0.617329 -1.582533 -2.457736 -1.103158  0.881376   \n",
      "931 -0.749425  0.972833 -0.048579 -0.511019 -0.159517 -1.135516  0.958728   \n",
      "202 -1.547532  1.893259  1.899565  1.088557 -0.511950 -1.168168 -1.399601   \n",
      "314 -0.929180 -0.435418 -2.500459  0.362450  0.110227 -2.574999  1.657417   \n",
      "885 -2.073608 -0.503616 -1.645188  0.427103 -1.614990  0.502726  0.944974   \n",
      "\n",
      "           X0        X1  \n",
      "173  0.557782 -1.480039  \n",
      "452  0.638021 -2.722508  \n",
      "362  0.168268 -1.625118  \n",
      "856 -0.410641 -2.148791  \n",
      "778  0.687425 -1.752844  \n",
      "..        ...       ...  \n",
      "648  0.881376 -1.103158  \n",
      "931  0.958728 -1.135516  \n",
      "202 -1.399601 -1.168168  \n",
      "314  1.657417 -2.574999  \n",
      "885  0.944974  0.502726  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 173    -7.857862\n",
      "452     7.577603\n",
      "362    -3.054046\n",
      "856   -13.300039\n",
      "778     6.019405\n",
      "         ...    \n",
      "648     4.759991\n",
      "931    10.080089\n",
      "202     2.297590\n",
      "314    -3.811119\n",
      "885   -11.199742\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 173    False\n",
      "452     True\n",
      "362     True\n",
      "856    False\n",
      "778     True\n",
      "       ...  \n",
      "648     True\n",
      "931     True\n",
      "202     True\n",
      "314    False\n",
      "885    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.8703\n",
      "INFO:causalml:    RMSE (Treatment):     0.9484\n",
      "INFO:causalml:   sMAPE   (Control):     0.4835\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1689\n",
      "INFO:causalml:    Gini   (Control):     0.7614\n",
      "INFO:causalml:    Gini (Treatment):     0.9884\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0918\n",
      "INFO:causalml:    RMSE (Treatment):     1.0446\n",
      "INFO:causalml:   sMAPE   (Control):     0.4937\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1971\n",
      "INFO:causalml:    Gini   (Control):     0.7099\n",
      "INFO:causalml:    Gini (Treatment):     0.9853\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9127\n",
      "INFO:causalml:    RMSE (Treatment):     0.8881\n",
      "INFO:causalml:   sMAPE   (Control):     0.5185\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1651\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "229 -1.693449  0.975769  0.294856  1.677213  0.570499  0.236995  3.001468   \n",
      "32  -1.099286  0.898796  0.284389 -0.614014 -1.150040  0.589624  0.196437   \n",
      "407 -1.199841  0.583590 -0.114395 -0.810430  0.316471  1.190869  0.694040   \n",
      "883 -1.139762  0.160852 -0.071674 -0.104197 -1.540943  0.839832  0.628072   \n",
      "155  0.186297  2.211595  0.272060  1.710993 -0.343155  0.940461  1.044007   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "884 -0.206463  2.515624 -0.597811  0.358788 -1.639772 -1.142756  0.578135   \n",
      "107 -1.391807  0.824917 -0.114520  0.917218 -0.346789 -0.623044  1.090865   \n",
      "345 -1.194521  2.556273  0.304178 -0.438781 -0.127703 -0.705603  1.153798   \n",
      "174 -1.389069  2.427555 -1.962768  0.380924 -2.720164 -0.777716 -0.018113   \n",
      "132 -4.057538  1.581352 -1.081639  1.262583 -2.059606  0.227712  0.373265   \n",
      "\n",
      "           X0        X1  \n",
      "229  3.001468  0.236995  \n",
      "32   0.196437  0.589624  \n",
      "407  0.694040  1.190869  \n",
      "883  0.628072  0.839832  \n",
      "155  1.044007  0.940461  \n",
      "..        ...       ...  \n",
      "884  0.578135 -1.142756  \n",
      "107  1.090865 -0.623044  \n",
      "345  1.153798 -0.705603  \n",
      "174 -0.018113 -0.777716  \n",
      "132  0.373265  0.227712  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 229    21.267379\n",
      "32     -5.941016\n",
      "407    10.716455\n",
      "883     5.901248\n",
      "155    19.147114\n",
      "         ...    \n",
      "884     9.392570\n",
      "107    -2.840767\n",
      "345    12.057991\n",
      "174     1.619585\n",
      "132    -3.629107\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 229     True\n",
      "32     False\n",
      "407     True\n",
      "883     True\n",
      "155     True\n",
      "       ...  \n",
      "884     True\n",
      "107    False\n",
      "345     True\n",
      "174     True\n",
      "132     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "486 -0.060378 -0.386603 -0.624311  0.427205  0.865676 -1.184077  0.559674   \n",
      "584 -0.754149  0.524564  0.259186  0.327950  0.764248  1.517739 -0.343597   \n",
      "393 -1.303196  0.605609  0.168569  1.115444 -0.924550 -0.102834  0.081622   \n",
      "715 -0.612551  0.682669 -0.199036 -1.235912 -1.123797 -0.718232 -0.907246   \n",
      "287 -2.030588 -0.724655 -2.152445  1.455423 -1.699869  0.777392  0.490297   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "138  0.611603  0.658839 -0.438636  1.626230 -1.021618  0.334653 -0.099974   \n",
      "70  -0.565836  1.834783 -2.122074 -1.142553  0.905590 -0.660720  1.852484   \n",
      "723  0.034264  1.444662  0.785691  0.755711 -0.643581 -0.377432  0.660484   \n",
      "538 -0.823910  2.479396  0.152882  1.342818  1.880938 -1.872310  0.653014   \n",
      "697 -0.914739  0.515895 -1.237094  0.455332 -0.697591 -2.569362 -0.049337   \n",
      "\n",
      "           X0        X1  \n",
      "486  0.559674 -1.184077  \n",
      "584 -0.343597  1.517739  \n",
      "393  0.081622 -0.102834  \n",
      "715 -0.907246 -0.718232  \n",
      "287  0.490297  0.777392  \n",
      "..        ...       ...  \n",
      "138 -0.099974  0.334653  \n",
      "70   1.852484 -0.660720  \n",
      "723  0.660484 -0.377432  \n",
      "538  0.653014 -1.872310  \n",
      "697 -0.049337 -2.569362  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 486    12.711964\n",
      "584    11.093724\n",
      "393    -4.149152\n",
      "715     0.458874\n",
      "287   -11.017227\n",
      "         ...    \n",
      "138    11.274922\n",
      "70     15.668385\n",
      "723    12.592456\n",
      "538    16.761939\n",
      "697     3.459264\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 486     True\n",
      "584     True\n",
      "393    False\n",
      "715     True\n",
      "287    False\n",
      "       ...  \n",
      "138     True\n",
      "70      True\n",
      "723     True\n",
      "538     True\n",
      "697     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini   (Control):     0.6943\n",
      "INFO:causalml:    Gini (Treatment):     0.9893\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9119\n",
      "INFO:causalml:    RMSE (Treatment):     1.1321\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "498  0.925632  1.248556  0.266050  0.624337  0.139784  0.054055  0.611980   \n",
      "343 -1.275755  1.853760  0.893049 -1.703371 -0.923133 -1.113825  0.470165   \n",
      "406 -1.723518  0.869494 -0.410107 -0.411069  0.242774  1.029431  0.633780   \n",
      "347 -0.783681 -0.425386 -1.016921  1.284220 -1.134495 -0.170870 -0.188672   \n",
      "107 -1.302936  0.849902 -0.159648  0.948353 -0.246683 -0.672936  0.827165   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "650 -1.089455  0.154798 -2.850727  1.223669  0.311584 -1.655243  0.105204   \n",
      "109 -1.315574  0.194043 -0.454507  0.856102  1.277240 -0.215829  2.329545   \n",
      "329 -0.763798  0.152340 -0.132608  0.221868 -1.791237  0.079281  2.224855   \n",
      "960  0.161576 -0.287115  0.066753 -0.917243 -2.944296 -0.165028  1.221761   \n",
      "106 -1.481454  1.547463  0.125611 -0.352701 -2.068552 -1.862149  0.736369   \n",
      "\n",
      "           X0        X1  \n",
      "498  0.611980  0.054055  \n",
      "343  0.470165 -1.113825  \n",
      "406  0.633780  1.029431  \n",
      "347 -0.188672 -0.170870  \n",
      "107  0.827165 -0.672936  \n",
      "..        ...       ...  \n",
      "650  0.105204 -1.655243  \n",
      "109  2.329545 -0.215829  \n",
      "329  2.224855  0.079281  \n",
      "960  1.221761 -0.165028  \n",
      "106  0.736369 -1.862149  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 498    17.581110\n",
      "343     4.731928\n",
      "406     9.585905\n",
      "347     4.085427\n",
      "107    -2.840767\n",
      "         ...    \n",
      "650    -2.393578\n",
      "109    18.593730\n",
      "329    10.777317\n",
      "960     4.643805\n",
      "106    -8.631314\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 498     True\n",
      "343     True\n",
      "406     True\n",
      "347     True\n",
      "107    False\n",
      "       ...  \n",
      "650    False\n",
      "109     True\n",
      "329     True\n",
      "960     True\n",
      "106    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE   (Control):     0.5824\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1933\n",
      "INFO:causalml:    Gini   (Control):     0.7839\n",
      "INFO:causalml:    Gini (Treatment):     0.9837\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0786\n",
      "INFO:causalml:    RMSE (Treatment):     0.9618\n",
      "INFO:causalml:   sMAPE   (Control):     0.5333\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1850\n",
      "INFO:causalml:    Gini   (Control):     0.7419\n",
      "INFO:causalml:    Gini (Treatment):     0.9893\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "181  1.125728  0.140116  0.069322  0.831179 -0.385813 -0.950129  0.420018   \n",
      "422 -1.770041  0.841889 -0.224366 -0.392414  2.191028  0.024989  0.319091   \n",
      "659 -0.723129  2.909802 -0.962345  2.917851 -1.736066 -0.935685 -0.665218   \n",
      "51  -0.289412  0.743801  1.214467 -0.131556 -0.254289 -0.561595 -0.126134   \n",
      "684 -2.040331  2.247077  0.239600  0.453179  1.300511 -0.708659  0.690296   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "874  0.536244  2.342032  0.843026  2.121612 -1.791246 -0.603460  1.230203   \n",
      "146 -0.789941 -0.290262 -1.449763  0.313378  0.341513 -0.942170 -1.177943   \n",
      "162 -1.414215  0.924055 -0.993010  0.433887  1.924170 -2.278847  2.402717   \n",
      "972 -0.083595  0.625131 -0.987192  1.608500  1.194546 -1.260879 -0.750448   \n",
      "426 -0.539558  1.140058 -0.611717 -0.200436  0.854985 -0.856433 -0.357662   \n",
      "\n",
      "           X0        X1  \n",
      "181  0.420018 -0.950129  \n",
      "422  0.319091  0.024989  \n",
      "659 -0.665218 -0.935685  \n",
      "51  -0.126134 -0.561595  \n",
      "684  0.690296 -0.708659  \n",
      "..        ...       ...  \n",
      "874  1.230203 -0.603460  \n",
      "146 -1.177943 -0.942170  \n",
      "162  2.402717 -2.278847  \n",
      "972 -0.750448 -1.260879  \n",
      "426 -0.357662 -0.856433  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 181    13.569762\n",
      "422    11.141529\n",
      "659     4.772285\n",
      "51      8.374283\n",
      "684    11.451222\n",
      "         ...    \n",
      "874    16.052226\n",
      "146     3.922772\n",
      "162    17.934588\n",
      "972    10.333966\n",
      "426     8.947595\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 181    True\n",
      "422    True\n",
      "659    True\n",
      "51     True\n",
      "684    True\n",
      "       ... \n",
      "874    True\n",
      "146    True\n",
      "162    True\n",
      "972    True\n",
      "426    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9047\n",
      "INFO:causalml:    RMSE (Treatment):     0.9695\n",
      "INFO:causalml:   sMAPE   (Control):     0.4927\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1624\n",
      "INFO:causalml:    Gini   (Control):     0.7019\n",
      "INFO:causalml:    Gini (Treatment):     0.9864\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "716 -1.615944  1.592631 -1.577118 -0.974178  1.417172 -0.195000  0.312512   \n",
      "774 -0.886076  0.195586  0.455056 -0.785569  0.251063 -1.413741  0.262704   \n",
      "272 -3.301648  0.553178  0.159603  2.046934 -0.388566 -1.527966  1.482174   \n",
      "443 -2.529796  1.084026 -0.819423  0.035893  0.753495  0.483814 -0.069741   \n",
      "854 -2.523311 -0.010257 -0.769967 -0.177994  0.185291 -0.178115  0.296577   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "614 -2.386008  1.131412 -0.505893  0.004830  0.101923 -0.350414 -0.390763   \n",
      "826 -1.751728  1.126503 -0.508416  0.008477 -0.550763 -2.243036  0.627975   \n",
      "279 -2.061036 -0.503615 -0.241566 -0.116680  0.053960  0.623388  1.384687   \n",
      "24  -0.551295  0.322400 -1.152389  1.649997 -2.529414 -1.033174  0.650334   \n",
      "312 -0.728990 -0.366328  0.830242  0.664962 -0.175745 -0.044821  0.803275   \n",
      "\n",
      "           X0        X1  \n",
      "716  0.312512 -0.195000  \n",
      "774  0.262704 -1.413741  \n",
      "272  1.482174 -1.527966  \n",
      "443 -0.069741  0.483814  \n",
      "854  0.296577 -0.178115  \n",
      "..        ...       ...  \n",
      "614 -0.390763 -0.350414  \n",
      "826  0.627975 -2.243036  \n",
      "279  1.384687  0.623388  \n",
      "24   0.650334 -1.033174  \n",
      "312  0.803275 -0.044821  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 716     9.358799\n",
      "774     6.080336\n",
      "272    -7.247960\n",
      "443     6.116446\n",
      "854    -8.250436\n",
      "         ...    \n",
      "614    -5.992837\n",
      "826     3.753175\n",
      "279    -6.155145\n",
      "24     -7.244556\n",
      "312    10.376441\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 716     True\n",
      "774     True\n",
      "272    False\n",
      "443     True\n",
      "854    False\n",
      "       ...  \n",
      "614    False\n",
      "826     True\n",
      "279    False\n",
      "24     False\n",
      "312     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "148 -0.427906 -0.348349 -1.414734 -0.840811 -1.436732 -1.544825  1.050592   \n",
      "683 -0.565221 -1.461757 -1.292868  0.617291  0.720147  0.269804  0.479413   \n",
      "782 -0.683582  2.220805 -0.634412  1.335696 -1.692552 -0.549927  2.153804   \n",
      "323 -1.189912  1.017885 -1.046517 -0.238839 -0.588009  0.098981  0.492976   \n",
      "229 -1.566769  1.166166  0.379113  1.564834  0.393456  0.321811  3.489682   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "303 -1.802541  1.155115  0.033706  1.224001  0.978380 -0.626800  0.580053   \n",
      "356 -1.116602  0.982596 -0.581222 -0.520757 -0.778744  0.510570  1.240015   \n",
      "180 -0.755650  0.531365 -1.277980 -1.074982  1.894625 -0.207842  0.434392   \n",
      "117 -2.281886  0.960677 -2.020716 -1.229467 -1.118221 -0.754915  0.968480   \n",
      "216 -1.445130  1.697550 -2.520408 -0.942383 -0.658474 -1.404127  0.107552   \n",
      "\n",
      "           X0        X1  \n",
      "148  1.050592 -1.544825  \n",
      "683  0.479413  0.269804  \n",
      "782  2.153804 -0.549927  \n",
      "323  0.492976  0.098981  \n",
      "229  3.489682  0.321811  \n",
      "..        ...       ...  \n",
      "303  0.580053 -0.626800  \n",
      "356  1.240015  0.510570  \n",
      "180  0.434392 -0.207842  \n",
      "117  0.968480 -0.754915  \n",
      "216  0.107552 -1.404127  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 148     4.946877\n",
      "683    -0.955793\n",
      "782    14.584633\n",
      "323     6.435152\n",
      "229    21.267379\n",
      "         ...    \n",
      "303    11.687300\n",
      "356    -4.713297\n",
      "180    12.418586\n",
      "117   -11.180244\n",
      "216     2.376140\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 148     True\n",
      "683    False\n",
      "782     True\n",
      "323     True\n",
      "229     True\n",
      "       ...  \n",
      "303     True\n",
      "356    False\n",
      "180     True\n",
      "117    False\n",
      "216     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0486\n",
      "INFO:causalml:    RMSE (Treatment):     0.9171\n",
      "INFO:causalml:   sMAPE   (Control):     0.5529\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1573\n",
      "INFO:causalml:    Gini   (Control):     0.7084\n",
      "INFO:causalml:    Gini (Treatment):     0.9884\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0082\n",
      "INFO:causalml:    RMSE (Treatment):     0.9557\n",
      "INFO:causalml:   sMAPE   (Control):     0.5230\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1729\n",
      "INFO:causalml:    Gini   (Control):     0.7377\n",
      "INFO:causalml:    Gini (Treatment):     0.9884\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "168  0.450300  1.390503  0.155373 -1.101036 -0.952799 -0.887511  1.430561   \n",
      "176 -0.856629  1.249011  0.865558  0.345553 -2.692244 -0.310500 -0.444710   \n",
      "712 -0.384708  1.043094 -0.342221  1.242046 -0.192181 -0.562779 -1.078074   \n",
      "540 -1.489472  1.850874 -0.563384  0.019167  2.261024  0.812529  1.334890   \n",
      "243 -3.249216 -0.470659  0.290909  1.619751 -1.136002 -0.305133  0.820941   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "78  -1.204209  0.126061  0.575761  1.962184 -2.467364 -0.763519 -0.076058   \n",
      "578 -0.204916 -0.336268 -0.512652 -0.557115 -0.290550 -0.190070  0.805354   \n",
      "580  0.010203  1.941732 -0.233593  0.219375  0.073492 -2.284840 -0.308323   \n",
      "967 -1.474196  1.682763 -1.012478  1.377707 -0.535955 -3.259822  1.413777   \n",
      "878 -1.217552  2.664742 -2.231582  1.034746 -0.096639 -1.053233  0.765971   \n",
      "\n",
      "           X0        X1  \n",
      "168  1.430561 -0.887511  \n",
      "176 -0.444710 -0.310500  \n",
      "712 -1.078074 -0.562779  \n",
      "540  1.334890  0.812529  \n",
      "243  0.820941 -0.305133  \n",
      "..        ...       ...  \n",
      "78  -0.076058 -0.763519  \n",
      "578  0.805354 -0.190070  \n",
      "580 -0.308323 -2.284840  \n",
      "967  1.413777 -3.259822  \n",
      "878  0.765971 -1.053233  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 168    13.539036\n",
      "176     0.810587\n",
      "712     6.780320\n",
      "540    19.517995\n",
      "243   -10.483545\n",
      "         ...    \n",
      "78      2.567970\n",
      "578    -2.946371\n",
      "580     8.433110\n",
      "967    -2.657495\n",
      "878    11.079847\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 168     True\n",
      "176     True\n",
      "712     True\n",
      "540     True\n",
      "243    False\n",
      "       ...  \n",
      "78      True\n",
      "578    False\n",
      "580     True\n",
      "967    False\n",
      "878     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9013\n",
      "INFO:causalml:    RMSE (Treatment):     0.9553\n",
      "INFO:causalml:   sMAPE   (Control):     0.5311\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1842\n",
      "INFO:causalml:    Gini   (Control):     0.7100\n",
      "INFO:causalml:    Gini (Treatment):     0.9884\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "787  0.073705  2.848665 -1.943361 -1.359323 -0.878067 -0.436985 -0.313540   \n",
      "906 -1.575434  0.723096  0.059694  2.122850  0.024433  0.756446  0.800562   \n",
      "782 -0.746773  2.414147 -0.784415  1.453598 -1.809795 -0.543201  2.299416   \n",
      "357 -0.378320 -0.884596 -0.669495 -0.885519 -0.360368  0.592724 -0.790022   \n",
      "242 -1.792347  1.490790 -2.219958  0.454298  1.183930 -1.147240 -1.586327   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "5    0.099175 -0.058453 -0.246124 -1.474818 -0.040728 -1.233210 -0.794351   \n",
      "557  0.204105 -0.449736  0.150027  1.430447 -1.525944 -1.113027 -0.164975   \n",
      "545 -1.038618  2.006304  0.732717  1.104913  0.596121  0.500374  0.898176   \n",
      "833  0.101179  0.209330  0.769188  1.227717 -0.727485 -1.215284  1.049029   \n",
      "691 -0.929421  1.731717  0.245810  1.374453 -1.257481 -2.478499  1.097686   \n",
      "\n",
      "           X0        X1  \n",
      "787 -0.313540 -0.436985  \n",
      "906  0.800562  0.756446  \n",
      "782  2.299416 -0.543201  \n",
      "357 -0.790022  0.592724  \n",
      "242 -1.586327 -1.147240  \n",
      "..        ...       ...  \n",
      "5   -0.794351 -1.233210  \n",
      "557 -0.164975 -1.113027  \n",
      "545  0.898176  0.500374  \n",
      "833  1.049029 -1.215284  \n",
      "691  1.097686 -2.478499  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 787     7.397373\n",
      "906    11.554534\n",
      "782    14.584633\n",
      "357     4.629609\n",
      "242     1.894728\n",
      "         ...    \n",
      "5       4.741680\n",
      "557     5.886610\n",
      "545    15.065277\n",
      "833    13.445887\n",
      "691     9.514980\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 787    True\n",
      "906    True\n",
      "782    True\n",
      "357    True\n",
      "242    True\n",
      "       ... \n",
      "5      True\n",
      "557    True\n",
      "545    True\n",
      "833    True\n",
      "691    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9654\n",
      "INFO:causalml:    RMSE (Treatment):     0.9024\n",
      "INFO:causalml:   sMAPE   (Control):     0.5116\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1687\n",
      "INFO:causalml:    Gini   (Control):     0.6677\n",
      "INFO:causalml:    Gini (Treatment):     0.9897\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "896 -2.465205 -0.999605  1.043228  0.318869 -1.465928 -0.503822 -1.540073   \n",
      "924 -1.012879  1.098058 -0.604224 -1.358602 -0.086915  1.405343  1.440895   \n",
      "512 -1.440033  1.671872  1.455479  2.996854 -1.379065 -1.149984  0.578248   \n",
      "426 -0.315671  1.199681 -0.931325 -0.273054  0.861289 -0.838370 -0.409759   \n",
      "896 -2.555420 -0.866699  1.067359  0.461713 -1.476452 -0.242811 -1.659653   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "507 -1.437455 -0.337114 -1.649122  0.872149 -1.304679 -2.133027  0.785621   \n",
      "204 -1.476774  1.668028 -1.614169  0.703887  1.188127  0.282770  2.283149   \n",
      "170 -1.251671  2.617097 -1.391555  0.287190 -0.554072 -0.494777 -0.731169   \n",
      "406 -1.799370  0.523082 -0.214739 -0.356074  0.020431  1.217244  0.629496   \n",
      "96   1.225402  0.765896 -0.047135  1.089486 -1.500370 -1.094204  0.803605   \n",
      "\n",
      "           X0        X1  \n",
      "896 -1.540073 -0.503822  \n",
      "924  1.440895  1.405343  \n",
      "512  0.578248 -1.149984  \n",
      "426 -0.409759 -0.838370  \n",
      "896 -1.659653 -0.242811  \n",
      "..        ...       ...  \n",
      "507  0.785621 -2.133027  \n",
      "204  2.283149  0.282770  \n",
      "170 -0.731169 -0.494777  \n",
      "406  0.629496  1.217244  \n",
      "96   0.803605 -1.094204  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 896    -7.004058\n",
      "924    12.759503\n",
      "512     8.367137\n",
      "426     8.947595\n",
      "896    -7.004058\n",
      "         ...    \n",
      "507    -8.258449\n",
      "204    18.498160\n",
      "170    -2.441764\n",
      "406     9.585905\n",
      "96     14.140134\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 896     True\n",
      "924     True\n",
      "512     True\n",
      "426     True\n",
      "896     True\n",
      "       ...  \n",
      "507    False\n",
      "204     True\n",
      "170    False\n",
      "406     True\n",
      "96      True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9740\n",
      "INFO:causalml:    RMSE (Treatment):     0.9701\n",
      "INFO:causalml:   sMAPE   (Control):     0.5245\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1888\n",
      "INFO:causalml:    Gini   (Control):     0.7661\n",
      "INFO:causalml:    Gini (Treatment):     0.9887\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "531 -1.254262 -0.167187 -1.118310  0.614412  1.198764 -0.896836 -0.290468   \n",
      "740 -1.758760  0.145873 -0.995149  1.417127  0.854187 -0.493563  1.956534   \n",
      "484 -2.266697  0.849631 -1.660032 -0.689205  0.906942 -1.756428 -1.829463   \n",
      "978 -0.867775  2.183924  0.075721  0.981680  0.330304 -0.403923  2.232607   \n",
      "381  0.283811  0.106543 -0.055161 -1.052739 -1.024427 -0.208798 -1.355256   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "846 -1.635453 -0.271491  0.831266  0.243038  0.620326  0.957903  1.160719   \n",
      "314 -0.826652 -0.553605 -2.421504  0.298919  0.060331 -2.639562  1.210031   \n",
      "331 -1.054795  1.357207 -1.162656  0.466176  0.407668 -1.780166  0.733555   \n",
      "532 -0.925465  1.279058 -0.889965 -0.707787 -0.241389 -1.093723  0.034877   \n",
      "147 -2.132299  2.078401 -2.857642 -0.986338  0.869850 -0.541032  1.487452   \n",
      "\n",
      "           X0        X1  \n",
      "531 -0.290468 -0.896836  \n",
      "740  1.956534 -0.493563  \n",
      "484 -1.829463 -1.756428  \n",
      "978  2.232607 -0.403923  \n",
      "381 -1.355256 -0.208798  \n",
      "..        ...       ...  \n",
      "846  1.160719  0.957903  \n",
      "314  1.210031 -2.639562  \n",
      "331  0.733555 -1.780166  \n",
      "532  0.034877 -1.093723  \n",
      "147  1.487452 -0.541032  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 531     7.735845\n",
      "740    15.715393\n",
      "484    -3.918315\n",
      "978    19.702763\n",
      "381     2.059536\n",
      "         ...    \n",
      "846    12.705539\n",
      "314    -3.811119\n",
      "331    10.231377\n",
      "532     5.559274\n",
      "147    10.091404\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 531     True\n",
      "740     True\n",
      "484     True\n",
      "978     True\n",
      "381     True\n",
      "       ...  \n",
      "846     True\n",
      "314    False\n",
      "331     True\n",
      "532     True\n",
      "147     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
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     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.2477\n",
      "INFO:causalml:    RMSE (Treatment):     1.0436\n",
      "INFO:causalml:   sMAPE   (Control):     0.5956\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1984\n",
      "INFO:causalml:    Gini   (Control):     0.6722\n",
      "INFO:causalml:    Gini (Treatment):     0.9865\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
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      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "203 -1.114096  0.744064 -0.690975  0.599358 -0.792642 -1.637673 -0.397490   \n",
      "257 -2.323848  3.016880 -1.700118  1.013322 -0.844318  0.618392 -0.839909   \n",
      "538 -1.038158  2.444865  0.094385  1.527320  1.919538 -1.951172  0.524453   \n",
      "990 -0.000793  0.988923 -0.186809  0.210013 -1.229710  0.232132 -0.020338   \n",
      "731 -0.803858  1.991449 -1.228869  0.189832 -0.297466 -0.369540  1.348036   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "315 -0.833272  0.226528  1.212836  1.772068  0.227297 -0.380696 -0.006080   \n",
      "640 -1.671057  1.467272 -0.375628  1.326509 -1.537542 -0.711127  0.021974   \n",
      "878 -0.962893  2.730247 -2.113489  0.862045 -0.149434 -1.135810  1.112920   \n",
      "610 -0.524884  1.540807 -0.035025 -0.035810 -1.185091 -0.813191  0.907323   \n",
      "385  0.165748 -0.396830 -0.189713  0.224653 -1.901237 -1.310045 -0.920344   \n",
      "\n",
      "           X0        X1  \n",
      "203 -0.397490 -1.637673  \n",
      "257 -0.839909  0.618392  \n",
      "538  0.524453 -1.951172  \n",
      "990 -0.020338  0.232132  \n",
      "731  1.348036 -0.369540  \n",
      "..        ...       ...  \n",
      "315 -0.006080 -0.380696  \n",
      "640  0.021974 -0.711127  \n",
      "878  1.112920 -1.135810  \n",
      "610  0.907323 -0.813191  \n",
      "385 -0.920344 -1.310045  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 203    -4.155357\n",
      "257     2.568588\n",
      "538    16.761939\n",
      "990     8.714440\n",
      "731    13.912472\n",
      "         ...    \n",
      "315    11.545213\n",
      "640     3.839554\n",
      "878    11.079847\n",
      "610     9.248446\n",
      "385    -1.265529\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 203    False\n",
      "257     True\n",
      "538     True\n",
      "990     True\n",
      "731     True\n",
      "       ...  \n",
      "315     True\n",
      "640     True\n",
      "878     True\n",
      "610     True\n",
      "385     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
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     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9891\n",
      "INFO:causalml:    RMSE (Treatment):     0.9589\n",
      "INFO:causalml:   sMAPE   (Control):     0.5070\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1700\n",
      "INFO:causalml:    Gini   (Control):     0.7410\n",
      "INFO:causalml:    Gini (Treatment):     0.9883\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "584 -0.774744  0.506187  0.455158  0.141210  0.990320  1.628572 -0.711597   \n",
      "841 -0.724696 -0.374489 -1.103751  1.129970  0.018946 -1.663767  0.567341   \n",
      "885 -2.180824 -0.176545 -1.411294  0.282502 -1.568631  0.486085  0.855786   \n",
      "288 -2.020792  1.845664  0.351894  0.727023 -1.539883  0.047874  0.409374   \n",
      "207 -1.188113  0.958327  1.154980  0.336073  1.815925 -2.040130  0.659767   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "352 -0.535340 -0.482681  2.379011  0.602865 -0.376757  0.429827 -0.246536   \n",
      "56  -0.256722  0.790392 -1.288484 -0.016408 -0.773910 -0.151304  0.797364   \n",
      "260 -2.400965 -1.351992 -1.401867  0.351487  0.142640 -1.172623 -1.246456   \n",
      "265 -0.624554  2.322689  0.829394 -1.257380 -0.054393 -0.181632 -0.055043   \n",
      "434 -1.176635  1.246362  0.634036 -0.149590 -0.657726 -2.223801 -0.233063   \n",
      "\n",
      "           X0        X1  \n",
      "584 -0.711597  1.628572  \n",
      "841  0.567341 -1.663767  \n",
      "885  0.855786  0.486085  \n",
      "288  0.409374  0.047874  \n",
      "207  0.659767 -2.040130  \n",
      "..        ...       ...  \n",
      "352 -0.246536  0.429827  \n",
      "56   0.797364 -0.151304  \n",
      "260 -1.246456 -1.172623  \n",
      "265 -0.055043 -0.181632  \n",
      "434 -0.233063 -2.223801  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 584    11.093724\n",
      "841     9.168319\n",
      "885   -11.199742\n",
      "288     5.235864\n",
      "207    13.068250\n",
      "         ...    \n",
      "352     8.970110\n",
      "56     -1.924324\n",
      "260    -8.117300\n",
      "265     9.003069\n",
      "434     1.849930\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 584     True\n",
      "841     True\n",
      "885    False\n",
      "288     True\n",
      "207     True\n",
      "       ...  \n",
      "352     True\n",
      "56     False\n",
      "260    False\n",
      "265     True\n",
      "434     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
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     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.8899\n",
      "INFO:causalml:    RMSE (Treatment):     0.8863\n",
      "INFO:causalml:   sMAPE   (Control):     0.5197\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1595\n",
      "INFO:causalml:    Gini   (Control):     0.7407\n",
      "INFO:causalml:    Gini (Treatment):     0.9895\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "941 -0.797345  2.665011  0.065694 -0.869696 -0.413973 -0.687528  0.939537   \n",
      "340  0.395646  2.063995 -0.674216 -0.736351  0.536852 -0.722070  1.665084   \n",
      "303 -1.670465  1.107357 -0.022130  1.189194  0.769526 -0.515271  0.865204   \n",
      "365 -0.221781 -0.295120  0.899051  0.889803  0.424290 -1.638042  1.211189   \n",
      "473 -2.054937  3.017625  0.240892  0.295945 -1.512661 -1.911661  0.565662   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "193 -0.518369  1.617026 -1.830014 -0.741120 -0.465983 -1.906328  0.215485   \n",
      "21  -0.773907  1.110886 -0.544079  1.006438 -0.060069 -1.772730 -0.347305   \n",
      "667 -2.226760  0.866911  0.115075  1.460086 -0.182291  0.234942  1.711669   \n",
      "754 -1.061954 -0.022086 -0.504810  1.309105  0.785156 -0.609433  0.176682   \n",
      "110 -1.835672  2.334799 -0.523204  1.565468 -0.553570  0.776834  1.039780   \n",
      "\n",
      "           X0        X1  \n",
      "941  0.939537 -0.687528  \n",
      "340  1.665084 -0.722070  \n",
      "303  0.865204 -0.515271  \n",
      "365  1.211189 -1.638042  \n",
      "473  0.565662 -1.911661  \n",
      "..        ...       ...  \n",
      "193  0.215485 -1.906328  \n",
      "21  -0.347305 -1.772730  \n",
      "667  1.711669  0.234942  \n",
      "754  0.176682 -0.609433  \n",
      "110  1.039780  0.776834  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 941     9.630585\n",
      "340    18.529106\n",
      "303    11.687300\n",
      "365    15.195618\n",
      "473     2.964870\n",
      "         ...    \n",
      "193     5.787386\n",
      "21      6.406231\n",
      "667    11.985876\n",
      "754     9.673575\n",
      "110    11.934711\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 941    True\n",
      "340    True\n",
      "303    True\n",
      "365    True\n",
      "473    True\n",
      "       ... \n",
      "193    True\n",
      "21     True\n",
      "667    True\n",
      "754    True\n",
      "110    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9757\n",
      "INFO:causalml:    RMSE (Treatment):     0.9511\n",
      "INFO:causalml:   sMAPE   (Control):     0.5335\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1826\n",
      "INFO:causalml:    Gini   (Control):     0.7234\n",
      "INFO:causalml:    Gini (Treatment):     0.9876\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "439 -0.777678  0.791216  0.088420 -0.890809 -2.096758 -2.250654 -0.541533   \n",
      "448 -1.966394  0.687084 -1.596052  0.310020  1.635333 -0.303399 -0.488773   \n",
      "737 -0.437622  0.229345 -0.010522  0.433842 -1.561250 -1.020391  0.680363   \n",
      "458 -1.283245 -0.238230 -0.732136  1.453553 -1.122988  0.246707  0.593596   \n",
      "507 -1.573522 -0.282174 -1.553324  1.126635 -1.519532 -1.805382  1.103591   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "689 -2.157866  1.144691 -1.437880 -2.358650 -1.930470 -2.442867 -0.507167   \n",
      "817  0.535492  1.129122 -0.785106  0.005089  0.605181 -0.155125  1.160599   \n",
      "979 -1.119402 -0.292695  0.065637  1.221340  1.164068 -0.975426  0.551811   \n",
      "447 -0.452422  0.225148 -0.548859 -0.857193 -0.796498 -1.718787  0.004224   \n",
      "318 -0.436870 -0.478021 -0.215719 -0.049107  1.442010 -0.572800 -0.385856   \n",
      "\n",
      "           X0        X1  \n",
      "439 -0.541533 -2.250654  \n",
      "448 -0.488773 -0.303399  \n",
      "737  0.680363 -1.020391  \n",
      "458  0.593596  0.246707  \n",
      "507  1.103591 -1.805382  \n",
      "..        ...       ...  \n",
      "689 -0.507167 -2.442867  \n",
      "817  1.160599 -0.155125  \n",
      "979  0.551811 -0.975426  \n",
      "447  0.004224 -1.718787  \n",
      "318 -0.385856 -0.572800  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 439    -2.654670\n",
      "448    -0.866495\n",
      "737     6.679250\n",
      "458     7.125670\n",
      "507    -8.258449\n",
      "         ...    \n",
      "689   -13.994008\n",
      "817    17.203287\n",
      "979    10.393456\n",
      "447     3.661764\n",
      "318    10.068543\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 439     True\n",
      "448    False\n",
      "737     True\n",
      "458     True\n",
      "507    False\n",
      "       ...  \n",
      "689    False\n",
      "817     True\n",
      "979     True\n",
      "447     True\n",
      "318     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1156\n",
      "INFO:causalml:    RMSE (Treatment):     1.0473\n",
      "INFO:causalml:   sMAPE   (Control):     0.5300\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1864\n",
      "INFO:causalml:    Gini   (Control):     0.7404\n",
      "INFO:causalml:    Gini (Treatment):     0.9859\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "517 -1.249075  0.028192 -0.076209  1.228302 -0.889615 -0.970315  1.053813   \n",
      "1   -0.598908  0.552677 -0.987892  1.753865 -1.047326  0.827995  0.683017   \n",
      "401 -1.902249  1.609008 -1.650454  1.139514 -0.243655  0.337020  0.009184   \n",
      "305 -2.290212  2.079516  1.762446 -1.346023 -0.321697 -0.296516  1.240990   \n",
      "219 -0.424078 -0.746495 -0.269375  1.026374  0.569689 -2.044241  0.193521   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "367 -1.119150  0.790038 -2.083099  0.272993 -2.106983  0.511889 -0.991478   \n",
      "124 -0.979415  2.388193  0.461914  0.399532  0.582675 -0.175566 -0.247623   \n",
      "857 -0.958933  0.848727 -0.274051 -0.994394 -0.419030 -0.062599 -0.356535   \n",
      "946 -0.035807  1.000916  0.683003  1.705651 -0.522502 -1.759322  1.789445   \n",
      "421 -2.133503  0.248461 -0.560940 -0.426672 -0.211597  0.784156 -1.712237   \n",
      "\n",
      "           X0        X1  \n",
      "517  1.053813 -0.970315  \n",
      "1    0.683017  0.827995  \n",
      "401  0.009184  0.337020  \n",
      "305  1.240990 -0.296516  \n",
      "219  0.193521 -2.044241  \n",
      "..        ...       ...  \n",
      "367 -0.991478  0.511889  \n",
      "124 -0.247623 -0.175566  \n",
      "857 -0.356535 -0.062599  \n",
      "946  1.789445 -1.759322  \n",
      "421 -1.712237  0.784156  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 517    -4.981074\n",
      "1      11.125450\n",
      "401     7.798611\n",
      "305     7.299002\n",
      "219     8.839168\n",
      "         ...    \n",
      "367    -8.836089\n",
      "124    10.147994\n",
      "857     4.361211\n",
      "946    16.526801\n",
      "421    -2.608507\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 517    False\n",
      "1       True\n",
      "401     True\n",
      "305     True\n",
      "219     True\n",
      "       ...  \n",
      "367    False\n",
      "124     True\n",
      "857     True\n",
      "946     True\n",
      "421     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0421\n",
      "INFO:causalml:    RMSE (Treatment):     1.0731\n",
      "INFO:causalml:   sMAPE   (Control):     0.5423\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1840\n",
      "INFO:causalml:    Gini   (Control):     0.7539\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "724 -1.186624 -0.204969  0.236915  0.421616 -0.619602  0.457596  0.993188   \n",
      "386  0.351171  2.087307  2.341325  0.002534 -1.115900  1.480497 -0.390224   \n",
      "53  -2.973900  0.733783 -0.604958  0.645836 -0.335077 -1.900429  2.401266   \n",
      "298 -1.414364  1.106476  0.190108 -2.115642 -1.068247  0.043662  0.829619   \n",
      "365 -0.035523 -0.341759  0.678484  0.982625  0.282776 -1.789647  1.250139   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "217 -1.002155  0.954097  0.201586  0.415424 -1.836686 -1.940836 -0.566890   \n",
      "480 -0.434488  0.173672  0.399111  1.491822  0.365539  0.256138  0.889867   \n",
      "39  -0.999988  1.230452 -1.692300 -0.961869 -1.179618  0.079984  1.729389   \n",
      "327 -1.328455  1.163397 -1.333196  1.018846 -2.697315 -1.532378  0.907498   \n",
      "318 -0.506408 -0.658883 -0.359665 -0.030377  1.475936 -0.510247 -0.247610   \n",
      "\n",
      "           X0        X1  \n",
      "724  0.993188  0.457596  \n",
      "386 -0.390224  1.480497  \n",
      "53   2.401266 -1.900429  \n",
      "298  0.829619  0.043662  \n",
      "365  1.250139 -1.789647  \n",
      "..        ...       ...  \n",
      "217 -0.566890 -1.940836  \n",
      "480  0.889867  0.256138  \n",
      "39   1.729389  0.079984  \n",
      "327  0.907498 -1.532378  \n",
      "318 -0.247610 -0.510247  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 724     7.856564\n",
      "386    11.776341\n",
      "53      7.558222\n",
      "298     5.375935\n",
      "365    15.195618\n",
      "         ...    \n",
      "217    -0.259780\n",
      "480    15.267030\n",
      "39     -6.109185\n",
      "327     1.918859\n",
      "318    10.068543\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 724     True\n",
      "386     True\n",
      "53      True\n",
      "298     True\n",
      "365     True\n",
      "       ...  \n",
      "217     True\n",
      "480     True\n",
      "39     False\n",
      "327     True\n",
      "318     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini (Treatment):     0.9853\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9553\n",
      "INFO:causalml:    RMSE (Treatment):     0.9546\n",
      "INFO:causalml:   sMAPE   (Control):     0.5796\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1537\n",
      "INFO:causalml:    Gini   (Control):     0.7471\n",
      "INFO:causalml:    Gini (Treatment):     0.9884\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "207 -1.366234  1.181501  1.211633  0.365055  1.568180 -2.136057  0.943552   \n",
      "469 -1.830332  0.130032  0.392897 -1.851040 -0.910172 -1.795773  2.143216   \n",
      "210 -0.290128  0.926269  1.449719  1.449915  0.314409 -1.436922 -1.237186   \n",
      "477 -2.716049  0.919646 -0.058762  1.140785 -1.477922 -1.039523  1.901640   \n",
      "587 -0.913343 -0.338004  0.824561  1.785646 -0.630247 -0.794141  1.563777   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "358 -1.690018  0.297790 -0.583945  1.387763 -1.053933 -0.484870  0.193280   \n",
      "998 -0.132933  0.842204 -1.539580 -0.012722 -1.320756  0.959635  1.889926   \n",
      "262 -1.701307 -1.234552 -0.291712  1.306074  0.636205 -0.594167  0.592119   \n",
      "846 -1.812872 -0.339279  0.842863  0.273237  0.789526  1.046829  1.325270   \n",
      "295 -0.991002  1.251465 -1.432965  0.507186 -1.377766  0.438091  1.324539   \n",
      "\n",
      "           X0        X1  \n",
      "207  0.943552 -2.136057  \n",
      "469  2.143216 -1.795773  \n",
      "210 -1.237186 -1.436922  \n",
      "477  1.901640 -1.039523  \n",
      "587  1.563777 -0.794141  \n",
      "..        ...       ...  \n",
      "358  0.193280 -0.484870  \n",
      "998  1.889926  0.959635  \n",
      "262  0.592119 -0.594167  \n",
      "846  1.325270  1.046829  \n",
      "295  1.324539  0.438091  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 207    13.068250\n",
      "469     4.435916\n",
      "210     7.048680\n",
      "477     7.037455\n",
      "587    12.208485\n",
      "         ...    \n",
      "358     3.577322\n",
      "998    13.321122\n",
      "262     7.461448\n",
      "846    12.705539\n",
      "295     9.933260\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 207    True\n",
      "469    True\n",
      "210    True\n",
      "477    True\n",
      "587    True\n",
      "       ... \n",
      "358    True\n",
      "998    True\n",
      "262    True\n",
      "846    True\n",
      "295    True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1203\n",
      "INFO:causalml:    RMSE (Treatment):     0.9173\n",
      "INFO:causalml:   sMAPE   (Control):     0.5700\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1799\n",
      "INFO:causalml:    Gini   (Control):     0.7873\n",
      "INFO:causalml:    Gini (Treatment):     0.9906\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0168\n",
      "INFO:causalml:    RMSE (Treatment):     0.9727\n",
      "INFO:causalml:   sMAPE   (Control):     0.6179\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1711\n",
      "INFO:causalml:    Gini   (Control):     0.7324\n",
      "INFO:causalml:    Gini (Treatment):     0.9886\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "969 -1.335965  0.447648 -0.411083  1.979017 -0.138700  2.367625  1.304766   \n",
      "120  0.878535  1.143899 -0.483360  1.389960 -1.129051 -0.036144  0.322280   \n",
      "398 -0.544874  1.460350 -1.210807  0.246759 -1.896953 -1.364403  0.295212   \n",
      "962  0.011323  0.505232 -0.851645 -0.691518 -0.815307 -2.475926 -0.811474   \n",
      "969 -1.471246  0.725484 -0.285822  1.968396  0.098097  2.035384  1.534909   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "156 -2.062858  1.654820 -0.039749  0.633792 -1.023244 -0.324959  1.014639   \n",
      "996 -2.996934  1.835326 -0.415804  1.731529  1.114039  1.000899  1.966124   \n",
      "283 -2.445636  0.615026 -0.362207 -0.613346  1.228393 -1.540628  0.829009   \n",
      "15  -2.063208  1.203270  0.445253  0.477875 -2.216014 -0.031189  0.820581   \n",
      "590 -1.171838  0.232455  0.198807  1.170847  0.340350  0.982074  1.019249   \n",
      "\n",
      "           X0        X1  \n",
      "969  1.304766  2.367625  \n",
      "120  0.322280 -0.036144  \n",
      "398  0.295212 -1.364403  \n",
      "962 -0.811474 -2.475926  \n",
      "969  1.534909  2.035384  \n",
      "..        ...       ...  \n",
      "156  1.014639 -0.324959  \n",
      "996  1.966124  1.000899  \n",
      "283  0.829009 -1.540628  \n",
      "15   0.820581 -0.031189  \n",
      "590  1.019249  0.982074  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 969    17.059856\n",
      "120    13.587443\n",
      "398    -5.105764\n",
      "962     1.353868\n",
      "969    17.059856\n",
      "         ...    \n",
      "156     6.574194\n",
      "996    17.211685\n",
      "283     7.081134\n",
      "15      2.255591\n",
      "590    13.717742\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 969     True\n",
      "120     True\n",
      "398    False\n",
      "962     True\n",
      "969     True\n",
      "       ...  \n",
      "156     True\n",
      "996     True\n",
      "283     True\n",
      "15      True\n",
      "590     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "762  0.106489  0.709110 -0.977151  0.408870 -0.997734  0.051829  2.205049   \n",
      "561 -0.582679 -0.252048 -0.449171  1.288204 -2.428243  0.213163  1.199164   \n",
      "771 -1.581360  0.727476  0.228220  0.436623  0.611546  1.617179  2.021509   \n",
      "457 -1.325958  1.534327 -0.725483  1.753939 -2.868028 -1.354123  0.004881   \n",
      "665 -2.154642  0.336701 -0.127727 -0.622155  0.322338 -0.912627 -0.105646   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "496 -0.207431  0.517641 -0.880719  1.426367 -0.957096 -0.597891 -0.460067   \n",
      "761 -1.782044 -0.230445 -0.712217 -1.423460  0.959061 -0.572837  1.033045   \n",
      "799 -1.173348  0.516625  1.728205  0.736736 -0.216253  0.221584  3.380923   \n",
      "456 -1.039482  1.682213  0.772552  1.290649  0.140001  0.468885  0.540177   \n",
      "489 -0.254097 -1.425958 -0.688945  0.426641  0.148577 -0.933015 -1.321576   \n",
      "\n",
      "           X0        X1  \n",
      "762  2.205049  0.051829  \n",
      "561  1.199164  0.213163  \n",
      "771  2.021509  1.617179  \n",
      "457  0.004881 -1.354123  \n",
      "665 -0.105646 -0.912627  \n",
      "..        ...       ...  \n",
      "496 -0.460067 -0.597891  \n",
      "761  1.033045 -0.572837  \n",
      "799  3.380923  0.221584  \n",
      "456  0.540177  0.468885  \n",
      "489 -1.321576 -0.933015  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 762    17.175897\n",
      "561     8.271140\n",
      "771    18.593729\n",
      "457    -8.028104\n",
      "665     2.331887\n",
      "         ...    \n",
      "496     5.574781\n",
      "761     7.959767\n",
      "799    21.395850\n",
      "456    12.752919\n",
      "489     2.992182\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 762     True\n",
      "561     True\n",
      "771     True\n",
      "457    False\n",
      "665     True\n",
      "       ...  \n",
      "496     True\n",
      "761     True\n",
      "799     True\n",
      "456     True\n",
      "489     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0600\n",
      "INFO:causalml:    RMSE (Treatment):     0.9813\n",
      "INFO:causalml:   sMAPE   (Control):     0.5765\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1614\n",
      "INFO:causalml:    Gini   (Control):     0.7312\n",
      "INFO:causalml:    Gini (Treatment):     0.9879\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0749\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "982 -0.794501  0.663315 -0.444807 -0.869413  0.874432 -1.410284  1.245162   \n",
      "154 -1.522914  2.547789  0.958373 -0.742162  0.153355  0.081442  0.369015   \n",
      "810 -0.413913  0.523270  0.026244  0.698672 -0.373440 -0.178206 -0.843674   \n",
      "130 -0.300918  0.222057 -1.254998  1.360267 -0.882821 -0.874269  0.547756   \n",
      "268  0.108036 -0.440682  0.323611  0.832749 -0.207856 -1.020580 -1.452514   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "934 -2.424483  1.343930 -0.123170  1.154069 -1.879578 -1.717017  1.443784   \n",
      "818 -2.141950  1.077866 -0.176088  0.295325 -2.526841 -0.678777  0.773618   \n",
      "732 -1.838668  1.864397 -0.393074  0.704162 -0.116134 -0.980395  2.071491   \n",
      "646 -0.691894  0.965563  0.295157  1.679703 -1.580214 -0.537919  0.595561   \n",
      "679 -1.193441  1.345853  0.874096 -0.725893 -1.256080  0.695600  0.692764   \n",
      "\n",
      "           X0        X1  \n",
      "982  1.245162 -1.410284  \n",
      "154  0.369015  0.081442  \n",
      "810 -0.843674 -0.178206  \n",
      "130  0.547756 -0.874269  \n",
      "268 -1.452514 -1.020580  \n",
      "..        ...       ...  \n",
      "934  1.443784 -1.717017  \n",
      "818  0.773618 -0.678777  \n",
      "732  2.071491 -0.980395  \n",
      "646  0.595561 -0.537919  \n",
      "679  0.692764  0.695600  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 982    12.003112\n",
      "154     9.367612\n",
      "810     5.956647\n",
      "130     9.234615\n",
      "268     3.465358\n",
      "         ...    \n",
      "934     2.331482\n",
      "818   -11.770683\n",
      "732    -3.133831\n",
      "646     9.399353\n",
      "679     6.809382\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 982     True\n",
      "154     True\n",
      "810     True\n",
      "130     True\n",
      "268     True\n",
      "       ...  \n",
      "934     True\n",
      "818    False\n",
      "732    False\n",
      "646     True\n",
      "679     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "332 -1.296487  0.315159 -0.917615  1.194753  0.499105  0.293720  1.602796   \n",
      "344 -2.449548  1.486259 -0.160623 -0.389842 -1.081393 -0.050959  1.996267   \n",
      "486 -0.270020 -0.394789 -0.572976  0.377000  0.966363 -1.171396  0.454287   \n",
      "23  -1.579551  0.179087 -0.682078  0.198108  0.152373  0.692088  2.098798   \n",
      "873 -0.179652 -0.287899  0.680093  0.701952 -1.191745 -1.905421  0.095141   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "241 -0.858343  2.347961 -0.871282  1.778801  0.129180 -2.613692 -0.315300   \n",
      "991 -0.297982  0.682839  0.031873 -0.980435 -2.292614 -0.267537  2.225250   \n",
      "737 -0.361140  0.059002 -0.221684  0.200752 -1.620890 -1.393805  1.183499   \n",
      "903 -2.201737  1.581319  0.868458  0.735588  0.787632  1.289393  0.203314   \n",
      "926  1.129385  0.557172 -0.624555  1.080902 -0.720518 -0.244517  0.376367   \n",
      "\n",
      "           X0        X1  \n",
      "332  1.602796  0.293720  \n",
      "344  1.996267 -0.050959  \n",
      "486  0.454287 -1.171396  \n",
      "23   2.098798  0.692088  \n",
      "873  0.095141 -1.905421  \n",
      "..        ...       ...  \n",
      "241 -0.315300 -2.613692  \n",
      "991  2.225250 -0.267537  \n",
      "737  1.183499 -1.393805  \n",
      "903  0.203314  1.289393  \n",
      "926  0.376367 -0.244517  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 332    16.296656\n",
      "344    -9.322258\n",
      "486    12.711964\n",
      "23     -4.601417\n",
      "873     4.499265\n",
      "         ...    \n",
      "241     7.793042\n",
      "991    -7.648859\n",
      "737     6.679250\n",
      "903    11.446682\n",
      "926    13.032000\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 332     True\n",
      "344    False\n",
      "486     True\n",
      "23     False\n",
      "873     True\n",
      "       ...  \n",
      "241     True\n",
      "991    False\n",
      "737     True\n",
      "903     True\n",
      "926     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    RMSE (Treatment):     1.1122\n",
      "INFO:causalml:   sMAPE   (Control):     0.5652\n",
      "INFO:causalml:   sMAPE (Treatment):     0.2127\n",
      "INFO:causalml:    Gini   (Control):     0.7542\n",
      "INFO:causalml:    Gini (Treatment):     0.9839\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1086\n",
      "INFO:causalml:    RMSE (Treatment):     1.0436\n",
      "INFO:causalml:   sMAPE   (Control):     0.5778\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1765\n",
      "INFO:causalml:    Gini   (Control):     0.6881\n",
      "INFO:causalml:    Gini (Treatment):     0.9868\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0219\n",
      "INFO:causalml:    RMSE (Treatment):     0.9830\n",
      "INFO:causalml:   sMAPE   (Control):     0.5468\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1661\n",
      "INFO:causalml:    Gini   (Control):     0.7412\n",
      "INFO:causalml:    Gini (Treatment):     0.9872\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "738 -0.484416  1.687269 -1.583798  2.053387 -0.903056 -2.357297  0.762175   \n",
      "403 -1.774697  2.419671  0.581029  0.345242 -2.182253 -0.431024 -1.477473   \n",
      "738 -0.589523  1.673371 -1.640816  2.072849 -0.761020 -2.556119  0.647355   \n",
      "398 -0.430815  1.459252 -1.310444  0.477303 -1.911626 -1.131070  0.406184   \n",
      "540 -1.320015  1.915577 -0.459789 -0.082961  2.080044  0.673359  1.359615   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "185 -0.189739  0.798016 -1.637180 -0.973693  0.515212 -0.479969 -0.733242   \n",
      "903 -2.059504  1.688765  1.129595  0.414466  0.812262  1.673828  0.329361   \n",
      "303 -1.732982  1.160460  0.179380  1.219356  0.864191 -0.416468  0.937511   \n",
      "224 -0.243703  1.430595 -0.902650 -0.183798 -0.514459 -0.550796  1.359030   \n",
      "216 -1.143249  1.699965 -2.537634 -0.834504 -0.963018 -1.343873  0.012237   \n",
      "\n",
      "           X0        X1  \n",
      "738  0.762175 -2.357297  \n",
      "403 -1.477473 -0.431024  \n",
      "738  0.647355 -2.556119  \n",
      "398  0.406184 -1.131070  \n",
      "540  1.359615  0.673359  \n",
      "..        ...       ...  \n",
      "185 -0.733242 -0.479969  \n",
      "903  0.329361  1.673828  \n",
      "303  0.937511 -0.416468  \n",
      "224  1.359030 -0.550796  \n",
      "216  0.012237 -1.343873  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 738     8.470271\n",
      "403    -3.265557\n",
      "738     8.470271\n",
      "398    -5.105764\n",
      "540    19.517995\n",
      "         ...    \n",
      "185    -0.302411\n",
      "903    11.446682\n",
      "303    11.687300\n",
      "224    -0.964343\n",
      "216     2.376140\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 738     True\n",
      "403     True\n",
      "738     True\n",
      "398    False\n",
      "540     True\n",
      "       ...  \n",
      "185    False\n",
      "903     True\n",
      "303     True\n",
      "224    False\n",
      "216     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "172 -1.043971  1.761026 -1.454093 -0.200212 -0.640173 -1.525210  1.509516   \n",
      "136 -1.924297 -0.274434 -0.917478  1.109700 -0.054534  0.789436 -0.133145   \n",
      "299 -1.192639  0.104373 -0.938420  1.706595  0.154327 -1.158545 -0.509465   \n",
      "13  -1.269414  0.227623  0.692321 -2.352126 -1.858097 -0.389351 -0.227835   \n",
      "876 -0.757699 -0.034899 -0.510357  0.536978 -0.035272 -1.700392  2.046986   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "540 -1.397708  1.894398 -0.492258  0.041512  2.224414  0.784732  1.189514   \n",
      "154 -1.644824  2.600395  0.678450 -0.861557 -0.025366  0.179584  0.538859   \n",
      "678  0.626320  0.739785 -0.184908  0.363249 -1.507676 -0.041604  1.191561   \n",
      "888 -0.079391  0.649108 -1.904946  1.743524  0.441493 -0.063658  1.094585   \n",
      "681 -0.651375  1.471942  0.441373 -1.142466  1.357624 -0.002035  1.670379   \n",
      "\n",
      "           X0        X1  \n",
      "172  1.509516 -1.525210  \n",
      "136 -0.133145  0.789436  \n",
      "299 -0.509465 -1.158545  \n",
      "13  -0.227835 -0.389351  \n",
      "876  2.046986 -1.700392  \n",
      "..        ...       ...  \n",
      "540  1.189514  0.784732  \n",
      "154  0.538859  0.179584  \n",
      "678  1.191561 -0.041604  \n",
      "888  1.094585 -0.063658  \n",
      "681  1.670379 -0.002035  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 172    10.160763\n",
      "136    -4.977571\n",
      "299     5.614664\n",
      "13     -2.020044\n",
      "876    12.555557\n",
      "         ...    \n",
      "540    19.517995\n",
      "154     9.367612\n",
      "678    13.061989\n",
      "888    16.906677\n",
      "681    18.090454\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 172     True\n",
      "136    False\n",
      "299     True\n",
      "13      True\n",
      "876     True\n",
      "       ...  \n",
      "540     True\n",
      "154     True\n",
      "678     True\n",
      "888     True\n",
      "681     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.2539\n",
      "INFO:causalml:    RMSE (Treatment):     0.9791\n",
      "INFO:causalml:   sMAPE   (Control):     0.5269\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1816\n",
      "INFO:causalml:    Gini   (Control):     0.7565\n",
      "INFO:causalml:    Gini (Treatment):     0.9892\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0712\n",
      "INFO:causalml:    RMSE (Treatment):     0.9911\n",
      "INFO:causalml:   sMAPE   (Control):     0.5510\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1923\n",
      "INFO:causalml:    Gini   (Control):     0.7424\n",
      "INFO:causalml:    Gini (Treatment):     0.9883\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "770 -2.833607  0.247946 -1.054563 -0.451676 -1.223193  0.524625  1.020635   \n",
      "805 -2.511877 -0.416616 -0.952440 -0.180083  0.205770 -2.841067  0.262597   \n",
      "483 -1.372015  0.849386 -0.293284  0.759140 -2.075523  0.228387  0.476496   \n",
      "396 -0.147135 -1.883991 -1.230722 -1.231061 -1.361075  0.330904  0.628008   \n",
      "110 -1.689077  2.282338 -0.370636  1.396179 -0.356844  0.761223  0.814718   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "196 -1.900765  1.142843 -0.900225 -0.632667 -1.317238 -1.090468  0.725665   \n",
      "804 -2.456427  0.834854 -0.079465  1.288538 -1.198145 -0.950941  0.385082   \n",
      "427  0.382613 -0.025500  0.603087  1.308133 -1.791121 -0.510804  2.260320   \n",
      "371 -2.489665  1.949779 -0.742450 -0.413601 -0.449260  0.283632  0.206128   \n",
      "718 -1.214701  1.204254 -2.714157 -0.823141  0.496854 -2.151207  0.308420   \n",
      "\n",
      "           X0        X1  \n",
      "770  1.020635  0.524625  \n",
      "805  0.262597 -2.841067  \n",
      "483  0.476496  0.228387  \n",
      "396  0.628008  0.330904  \n",
      "110  0.814718  0.761223  \n",
      "..        ...       ...  \n",
      "196  0.725665 -1.090468  \n",
      "804  0.385082 -0.950941  \n",
      "427  2.260320 -0.510804  \n",
      "371  0.206128  0.283632  \n",
      "718  0.308420 -2.151207  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 770   -12.067607\n",
      "805    -0.721618\n",
      "483     5.198246\n",
      "396    -9.105144\n",
      "110    11.934711\n",
      "         ...    \n",
      "196     1.676450\n",
      "804     2.906483\n",
      "427    15.122153\n",
      "371     4.468847\n",
      "718    -3.300467\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 770    False\n",
      "805     True\n",
      "483     True\n",
      "396    False\n",
      "110     True\n",
      "       ...  \n",
      "196     True\n",
      "804     True\n",
      "427     True\n",
      "371     True\n",
      "718    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "563 -0.268443 -0.219708 -2.876535  1.271821 -1.312667  1.280986  0.323887   \n",
      "106 -1.459605  1.569425  0.082599 -0.292869 -1.835696 -2.024142  1.050100   \n",
      "223 -0.733866  0.529961 -0.028252  1.931603 -1.823669 -0.976670  0.713833   \n",
      "27  -0.859815  0.867771 -1.343087 -0.258287 -0.528599 -1.559249  1.140061   \n",
      "960  0.292158 -0.143984 -0.053099 -0.938650 -3.131975 -0.574136  1.483128   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "7    0.169050  1.664113 -1.617550  0.850336 -1.624987 -0.440930  0.929542   \n",
      "961 -1.645919  1.515655 -0.383109  1.373957 -0.598925 -2.405242  0.310820   \n",
      "818 -2.336560  1.184435 -0.133590  0.300783 -2.270370 -0.602481  0.975037   \n",
      "163 -0.801707  0.799981  0.357547  0.710283 -0.733089 -1.185072  0.890325   \n",
      "408 -0.694694  1.651812 -0.792777  0.006787  2.315751 -1.067453 -1.079735   \n",
      "\n",
      "           X0        X1  \n",
      "563  0.323887  1.280986  \n",
      "106  1.050100 -2.024142  \n",
      "223  0.713833 -0.976670  \n",
      "27   1.140061 -1.559249  \n",
      "960  1.483128 -0.574136  \n",
      "..        ...       ...  \n",
      "7    0.929542 -0.440930  \n",
      "961  0.310820 -2.405242  \n",
      "818  0.975037 -0.602481  \n",
      "163  0.890325 -1.185072  \n",
      "408 -1.079735 -1.067453  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 563    -5.142521\n",
      "106    -8.631314\n",
      "223     6.636087\n",
      "27     -3.423349\n",
      "960     4.643805\n",
      "         ...    \n",
      "7      -2.646268\n",
      "961     4.732956\n",
      "818   -11.770683\n",
      "163     8.634512\n",
      "408    10.095428\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 563    False\n",
      "106    False\n",
      "223     True\n",
      "27     False\n",
      "960     True\n",
      "       ...  \n",
      "7      False\n",
      "961     True\n",
      "818    False\n",
      "163     True\n",
      "408     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.2491\n",
      "INFO:causalml:    RMSE (Treatment):     1.1114\n",
      "INFO:causalml:   sMAPE   (Control):     0.5319\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "962 -0.009677  0.669116 -0.849799 -0.702391 -0.940493 -2.525755 -0.891971   \n",
      "391 -0.341418  0.951311  1.421517 -1.064450  0.707648  0.191544  0.527653   \n",
      "233  0.198885  1.069432 -1.260303  0.733528  0.155105 -1.662024  2.801471   \n",
      "123 -0.912546  1.504504 -0.369505  1.432430 -2.599077  1.204453 -1.314089   \n",
      "91  -1.832020  1.182525 -0.244803 -0.953757  0.600936 -0.634880  0.917622   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "461 -1.360427 -1.914816  0.510510  0.500077 -0.493602  0.787010  0.798915   \n",
      "957 -0.061057  2.683942 -0.213917  0.549708 -1.910918  0.674554 -0.616028   \n",
      "385  0.122655 -0.360919 -0.231994  0.386600 -1.906796 -1.320416 -1.640399   \n",
      "773 -1.300000 -0.390972 -0.684988 -0.244824 -0.678865 -1.006887 -0.164986   \n",
      "59  -2.485758  0.450724 -0.618499 -0.465156 -1.369240 -1.414008 -1.160067   \n",
      "\n",
      "           X0        X1  \n",
      "962 -0.891971 -2.525755  \n",
      "391  0.527653  0.191544  \n",
      "233  2.801471 -1.662024  \n",
      "123 -1.314089  1.204453  \n",
      "91   0.917622 -0.634880  \n",
      "..        ...       ...  \n",
      "461  0.798915  0.787010  \n",
      "957 -0.616028  0.674554  \n",
      "385 -1.640399 -1.320416  \n",
      "773 -0.164986 -1.006887  \n",
      "59  -1.160067 -1.414008  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 962     1.353868\n",
      "391    13.502571\n",
      "233    21.285516\n",
      "123     1.168663\n",
      "91      9.048832\n",
      "         ...    \n",
      "461    -6.434741\n",
      "957     6.531621\n",
      "385    -1.265529\n",
      "773     1.630931\n",
      "59    -11.229570\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 962     True\n",
      "391     True\n",
      "233     True\n",
      "123     True\n",
      "91      True\n",
      "       ...  \n",
      "461    False\n",
      "957     True\n",
      "385     True\n",
      "773     True\n",
      "59     False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE (Treatment):     0.2131\n",
      "INFO:causalml:    Gini   (Control):     0.7332\n",
      "INFO:causalml:    Gini (Treatment):     0.9857\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9914\n",
      "INFO:causalml:    RMSE (Treatment):     1.0505\n",
      "INFO:causalml:   sMAPE   (Control):     0.5377\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1699\n",
      "INFO:causalml:    Gini   (Control):     0.7488\n",
      "INFO:causalml:    Gini (Treatment):     0.9845\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "404  0.304284 -1.498603 -0.480307  1.267006 -0.620078  0.781348 -0.391429   \n",
      "910  0.456531  1.361552 -1.515220  0.848143  1.245427 -0.631175  1.084272   \n",
      "592 -1.825880  1.633655 -1.557530  0.061253 -0.771143  0.575775  1.090394   \n",
      "820 -0.073384  1.163020 -1.955732  1.416701 -2.601253  1.077416 -0.101785   \n",
      "586 -1.843453  1.412223 -0.709723  0.477786 -1.890833  0.265785  2.900704   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "665 -2.203587  0.162848 -0.052461 -0.901767  0.184596 -0.682588  0.078397   \n",
      "308 -1.094821  0.338785  0.692682  0.770982  1.073404 -0.773410  0.837814   \n",
      "624 -2.036389 -0.353131 -0.077377  1.111249 -1.337650  0.085889  0.918850   \n",
      "588 -1.013102 -0.409262  0.759175  0.322997 -1.904446 -1.039943  0.126042   \n",
      "569 -2.779166  0.520614  0.576555  1.902577  1.473554 -1.378417  2.415496   \n",
      "\n",
      "           X0        X1  \n",
      "404 -0.391429  0.781348  \n",
      "910  1.084272 -0.631175  \n",
      "592  1.090394  0.575775  \n",
      "820 -0.101785  1.077416  \n",
      "586  2.900704  0.265785  \n",
      "..        ...       ...  \n",
      "665  0.078397 -0.682588  \n",
      "308  0.837814 -0.773410  \n",
      "624  0.918850  0.085889  \n",
      "588  0.126042 -1.039943  \n",
      "569  2.415496 -1.378417  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 404    -1.323791\n",
      "910    20.169101\n",
      "592     7.749983\n",
      "820     4.660715\n",
      "586    -8.767996\n",
      "         ...    \n",
      "665     2.331887\n",
      "308    12.604981\n",
      "624     5.810979\n",
      "588    -7.223205\n",
      "569    16.043709\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 404    False\n",
      "910     True\n",
      "592     True\n",
      "820     True\n",
      "586    False\n",
      "       ...  \n",
      "665     True\n",
      "308     True\n",
      "624     True\n",
      "588    False\n",
      "569     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9916\n",
      "INFO:causalml:    RMSE (Treatment):     1.0002\n",
      "INFO:causalml:   sMAPE   (Control):     0.5286\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1753\n",
      "INFO:causalml:    Gini   (Control):     0.7347\n",
      "INFO:causalml:    Gini (Treatment):     0.9868\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1868\n",
      "INFO:causalml:    RMSE (Treatment):     1.0344\n",
      "INFO:causalml:   sMAPE   (Control):     0.5700\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1891\n",
      "INFO:causalml:    Gini   (Control):     0.7466\n",
      "INFO:causalml:    Gini (Treatment):     0.9874\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "234  0.277636 -0.458319 -1.236754  1.580579 -1.049608 -1.092289  0.073106   \n",
      "892 -1.171172  0.806907 -0.680481 -0.663835 -1.156163 -0.919481 -0.952076   \n",
      "671 -1.789504  2.029038  0.366626  0.671937 -1.483687 -0.112850 -0.811123   \n",
      "833  0.263368  0.184965  0.666979  1.310278 -0.849572 -1.298711  1.324894   \n",
      "304 -0.859428  0.727926  1.667976  2.031498  1.015084  0.994497  1.432807   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "564 -0.722416 -0.238189 -0.521413  1.038525 -0.210707  0.310418  2.076362   \n",
      "894 -0.051398  0.530460 -2.565525  0.448468 -0.949153 -0.288395  1.726858   \n",
      "868 -1.754745  1.130944 -0.308641 -0.052623 -0.531785 -0.459450  1.764856   \n",
      "590 -1.432875  0.242315 -0.043110  1.001279  0.420302  1.061977  1.081231   \n",
      "527 -1.840716 -0.321949 -2.442757  0.317798  0.812937  0.094385  0.851838   \n",
      "\n",
      "           X0        X1  \n",
      "234  0.073106 -1.092289  \n",
      "892 -0.952076 -0.919481  \n",
      "671 -0.811123 -0.112850  \n",
      "833  1.324894 -1.298711  \n",
      "304  1.432807  0.994497  \n",
      "..        ...       ...  \n",
      "564  2.076362  0.310418  \n",
      "894  1.726858 -0.288395  \n",
      "868  1.764856 -0.459450  \n",
      "590  1.081231  1.061977  \n",
      "527  0.851838  0.094385  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 234     7.980017\n",
      "892    -0.915984\n",
      "671    -6.150284\n",
      "833    13.445887\n",
      "304    22.259686\n",
      "         ...    \n",
      "564    16.574010\n",
      "894    -2.776312\n",
      "868    -6.358042\n",
      "590    13.717742\n",
      "527     8.043131\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 234     True\n",
      "892     True\n",
      "671    False\n",
      "833     True\n",
      "304     True\n",
      "       ...  \n",
      "564     True\n",
      "894    False\n",
      "868    False\n",
      "590     True\n",
      "527     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "892 -1.365191  0.809145 -0.651818 -0.533120 -1.174905 -0.754857 -0.953927   \n",
      "478 -1.009846  1.403938 -1.112725  0.483925  0.288028 -2.041947  1.490763   \n",
      "147 -2.033595  2.003972 -2.905970 -0.874470  0.918767 -0.748644  1.628621   \n",
      "22   0.468947  1.163442  0.184800  3.538828 -0.021932  1.220487  2.210038   \n",
      "955 -0.411135  0.547188 -1.517731  1.258115  1.903441 -0.868937  1.334142   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "503 -1.932080  2.001397 -1.569077  0.379106  0.276418 -0.071977  0.991890   \n",
      "486 -0.153314 -0.096854 -0.783739  0.325289  1.050841 -0.886658  0.377008   \n",
      "848 -1.888484  1.311574 -2.408030  0.264099 -0.420793 -1.231687  0.327405   \n",
      "723 -0.168558  1.249420  0.753321  0.597698 -0.693478 -0.348529  0.523999   \n",
      "78  -1.157900  0.135025  0.432163  1.809337 -2.251005 -0.938530 -0.140407   \n",
      "\n",
      "           X0        X1  \n",
      "892 -0.953927 -0.754857  \n",
      "478  1.490763 -2.041947  \n",
      "147  1.628621 -0.748644  \n",
      "22   2.210038  1.220487  \n",
      "955  1.334142 -0.868937  \n",
      "..        ...       ...  \n",
      "503  0.991890 -0.071977  \n",
      "486  0.377008 -0.886658  \n",
      "848  0.327405 -1.231687  \n",
      "723  0.523999 -0.348529  \n",
      "78  -0.140407 -0.938530  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 892    -0.915984\n",
      "478    11.134846\n",
      "147    10.091404\n",
      "22     25.918390\n",
      "955    18.503792\n",
      "         ...    \n",
      "503    -3.163402\n",
      "486    12.711964\n",
      "848    -5.747920\n",
      "723    12.592456\n",
      "78      2.567970\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 892     True\n",
      "478     True\n",
      "147     True\n",
      "22      True\n",
      "955     True\n",
      "       ...  \n",
      "503    False\n",
      "486     True\n",
      "848    False\n",
      "723     True\n",
      "78      True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1447\n",
      "INFO:causalml:    RMSE (Treatment):     0.9871\n",
      "INFO:causalml:   sMAPE   (Control):     0.5226\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1729\n",
      "INFO:causalml:    Gini   (Control):     0.6911\n",
      "INFO:causalml:    Gini (Treatment):     0.9871\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "192  0.013481  0.077942 -0.358307  0.168147 -0.467291 -0.693907  0.667007   \n",
      "417 -0.366190  0.259755 -1.225215 -0.106444 -0.371682 -1.259310  1.718957   \n",
      "799 -1.223681  0.573615  1.814878  0.681714 -0.181330  0.214086  3.431480   \n",
      "286 -0.799104  1.123722  0.147207  0.723531 -1.327644  0.238024  0.305314   \n",
      "498  0.729111  1.362158  0.281377  0.617431 -0.087265  0.119880  0.608881   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "117 -2.231882  0.665366 -1.909693 -1.065803 -1.313906 -0.629881  0.962470   \n",
      "792 -0.774205  0.254451 -0.106932 -1.628313 -0.065050 -0.218405  1.323578   \n",
      "253 -0.250339  0.511999 -0.172158  1.445175 -1.914054  0.621038  0.901125   \n",
      "291  0.333775 -0.137968 -0.339481  0.150972 -0.486684  0.052764  2.652309   \n",
      "463 -1.375221  1.114778 -1.084832  0.642387  0.909748  0.993138  0.657208   \n",
      "\n",
      "           X0        X1  \n",
      "192  0.667007 -0.693907  \n",
      "417  1.718957 -1.259310  \n",
      "799  3.431480  0.214086  \n",
      "286  0.305314  0.238024  \n",
      "498  0.608881  0.119880  \n",
      "..        ...       ...  \n",
      "117  0.962470 -0.629881  \n",
      "792  1.323578 -0.218405  \n",
      "253  0.901125  0.621038  \n",
      "291  2.652309  0.052764  \n",
      "463  0.657208  0.993138  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 192    10.887872\n",
      "417    12.283023\n",
      "799    21.395850\n",
      "286     7.882269\n",
      "498    17.581110\n",
      "         ...    \n",
      "117   -11.180244\n",
      "792     9.683267\n",
      "253    11.727481\n",
      "291    18.348778\n",
      "463    13.719677\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 192     True\n",
      "417     True\n",
      "799     True\n",
      "286     True\n",
      "498     True\n",
      "       ...  \n",
      "117    False\n",
      "792     True\n",
      "253     True\n",
      "291     True\n",
      "463     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9856\n",
      "INFO:causalml:    RMSE (Treatment):     0.9593\n",
      "INFO:causalml:   sMAPE   (Control):     0.5396\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1518\n",
      "INFO:causalml:    Gini   (Control):     0.7416\n",
      "INFO:causalml:    Gini (Treatment):     0.9867\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1492\n",
      "INFO:causalml:    RMSE (Treatment):     0.9369\n",
      "INFO:causalml:   sMAPE   (Control):     0.5904\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "813 -2.574793  1.778857 -1.366494  0.361929  0.385444 -1.517934  0.547660   \n",
      "414 -0.709890  0.365473 -3.032579  0.495475 -1.578610 -1.055620  2.481256   \n",
      "395 -1.815771  0.441079 -0.282241  0.386440  1.087325 -1.114349  0.567645   \n",
      "458 -1.367800 -0.075564 -0.649272  1.415704 -1.028008  0.048305  0.511034   \n",
      "204 -1.523569  1.641104 -1.394166  0.432445  1.405679  0.444463  1.984802   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "409 -0.474703  0.299137  1.351608 -0.142418 -0.348057  1.312824  2.057486   \n",
      "846 -1.715347 -0.402672  0.816812  0.259425  0.681951  0.791362  1.367577   \n",
      "662 -0.004893  0.721397 -1.350244  1.319241 -2.629019 -2.145902 -0.150837   \n",
      "508  0.387571  0.618235  1.634774 -1.093117  1.003168  0.543222  1.559748   \n",
      "490 -2.459289  2.497210 -0.739107  0.191121  0.310616  1.609913  1.238706   \n",
      "\n",
      "           X0        X1  \n",
      "813  0.547660 -1.517934  \n",
      "414  2.481256 -1.055620  \n",
      "395  0.567645 -1.114349  \n",
      "458  0.511034  0.048305  \n",
      "204  1.984802  0.444463  \n",
      "..        ...       ...  \n",
      "409  2.057486  1.312824  \n",
      "846  1.367577  0.791362  \n",
      "662 -0.150837 -2.145902  \n",
      "508  1.559748  0.543222  \n",
      "490  1.238706  1.609913  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 813     5.390940\n",
      "414    -6.908901\n",
      "395     8.681410\n",
      "458     7.125670\n",
      "204    18.498160\n",
      "         ...    \n",
      "409    17.513846\n",
      "846    12.705539\n",
      "662     1.373230\n",
      "508    19.084238\n",
      "490    -3.562790\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 813     True\n",
      "414    False\n",
      "395     True\n",
      "458     True\n",
      "204     True\n",
      "       ...  \n",
      "409     True\n",
      "846     True\n",
      "662     True\n",
      "508     True\n",
      "490    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "491  0.170054  0.365630 -0.436193  0.121649  0.655171 -0.755025 -0.481998   \n",
      "155  0.265491  2.283702  0.416064  1.689635 -0.328769  1.362896  1.004507   \n",
      "644  0.192433 -0.486979 -0.263539  0.925781 -2.334375  0.092650  1.466703   \n",
      "918 -1.677469  1.390816  0.913525  1.070667 -0.519165 -0.050166  1.873531   \n",
      "979 -1.379922 -0.553287  0.201718  1.229420  1.009567 -0.628174  0.494019   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "329 -0.807969  0.144493  0.114449  0.363988 -2.069952  0.209398  2.149941   \n",
      "506 -1.793297 -0.478382 -2.362130  1.851526 -2.501745 -1.469484  0.081321   \n",
      "980 -1.484445  1.470760 -1.486318 -0.797821 -1.396926  0.557199  1.886761   \n",
      "678  0.627820  0.704262 -0.283240  0.380088 -1.533414  0.148136  0.994715   \n",
      "175 -1.276874  0.830585 -0.634198  0.967282  0.198645 -0.826272  2.607876   \n",
      "\n",
      "           X0        X1  \n",
      "491 -0.481998 -0.755025  \n",
      "155  1.004507  1.362896  \n",
      "644  1.466703  0.092650  \n",
      "918  1.873531 -0.050166  \n",
      "979  0.494019 -0.628174  \n",
      "..        ...       ...  \n",
      "329  2.149941  0.209398  \n",
      "506  0.081321 -1.469484  \n",
      "980  1.886761  0.557199  \n",
      "678  0.994715  0.148136  \n",
      "175  2.607876 -0.826272  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 491     8.770425\n",
      "155    19.147114\n",
      "644     9.476615\n",
      "918    12.845128\n",
      "979    10.393456\n",
      "         ...    \n",
      "329    10.777317\n",
      "506   -11.415137\n",
      "980     9.526360\n",
      "678    13.061989\n",
      "175    17.721185\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 491     True\n",
      "155     True\n",
      "644     True\n",
      "918     True\n",
      "979     True\n",
      "       ...  \n",
      "329     True\n",
      "506    False\n",
      "980     True\n",
      "678     True\n",
      "175     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE (Treatment):     0.1664\n",
      "INFO:causalml:    Gini   (Control):     0.7113\n",
      "INFO:causalml:    Gini (Treatment):     0.9892\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0798\n",
      "INFO:causalml:    RMSE (Treatment):     0.9780\n",
      "INFO:causalml:   sMAPE   (Control):     0.5958\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1848\n",
      "INFO:causalml:    Gini   (Control):     0.6842\n",
      "INFO:causalml:    Gini (Treatment):     0.9876\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "189  0.410161  0.131611  1.306199 -0.669237 -3.213176 -0.015185  1.042416   \n",
      "137 -1.888267  0.840921 -1.225961  0.008345 -1.717243 -0.430938 -1.004454   \n",
      "578 -0.187148 -0.657366 -0.529002 -0.708784 -0.369343 -0.096796  1.079143   \n",
      "600 -1.989738  1.197631 -0.709695  0.095892 -1.323674 -0.340022 -0.786717   \n",
      "882 -2.141692  0.421597 -1.563731 -0.476695  0.927827 -1.031005  0.219039   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "241 -0.696679  2.374122 -0.824048  1.787343  0.229680 -2.830965 -0.440137   \n",
      "217 -1.125068  0.957498  0.151769  0.436910 -1.737025 -1.745240 -0.371585   \n",
      "580 -0.140849  2.105249 -0.247492  0.146588 -0.125673 -2.231402 -0.241249   \n",
      "321 -2.075528  0.044587  0.680838  0.326194 -0.586312 -0.547235  0.670399   \n",
      "545 -1.029716  2.032547  0.704595  1.014036  0.594667  0.421423  0.768095   \n",
      "\n",
      "           X0        X1  \n",
      "189  1.042416 -0.015185  \n",
      "137 -1.004454 -0.430938  \n",
      "578  1.079143 -0.096796  \n",
      "600 -0.786717 -0.340022  \n",
      "882  0.219039 -1.031005  \n",
      "..        ...       ...  \n",
      "241 -0.440137 -2.830965  \n",
      "217 -0.371585 -1.745240  \n",
      "580 -0.241249 -2.231402  \n",
      "321  0.670399 -0.547235  \n",
      "545  0.768095  0.421423  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 189     5.702358\n",
      "137    -9.707122\n",
      "578    -2.946371\n",
      "600    -2.038553\n",
      "882    -4.513230\n",
      "         ...    \n",
      "241     7.793042\n",
      "217    -0.259780\n",
      "580     8.433110\n",
      "321    -6.946700\n",
      "545    15.065277\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 189     True\n",
      "137    False\n",
      "578    False\n",
      "600     True\n",
      "882    False\n",
      "       ...  \n",
      "241     True\n",
      "217     True\n",
      "580     True\n",
      "321    False\n",
      "545     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0771\n",
      "INFO:causalml:    RMSE (Treatment):     0.9774\n",
      "INFO:causalml:   sMAPE   (Control):     0.5323\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1741\n",
      "INFO:causalml:    Gini   (Control):     0.7203\n",
      "INFO:causalml:    Gini (Treatment):     0.9870\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "143 -1.949957  1.517756  2.204676  1.303316 -0.217841 -1.651990 -0.515243   \n",
      "196 -1.949786  1.115287 -0.853560 -0.572337 -1.419509 -1.086555  0.608502   \n",
      "46  -0.888146  1.092166 -0.582271  0.300130 -1.650112  0.469455  1.900898   \n",
      "9   -0.021802  1.130757  1.080258 -1.120494 -0.771512  0.783945 -0.188939   \n",
      "17  -2.283447  0.963726  0.992729  0.659825 -0.523651 -1.637352  2.110831   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "28   0.284972 -1.725446 -0.542758 -1.319756 -0.151833 -0.471153 -0.210616   \n",
      "273 -0.692795  1.302004 -0.819690  1.466807 -1.801295 -0.348019 -2.020364   \n",
      "162 -1.347888  1.001111 -0.895320  0.433071  1.873425 -2.217724  2.456335   \n",
      "695 -0.281676 -0.435856 -0.023010  0.860228 -0.372742 -1.177590  0.391568   \n",
      "794 -1.175251 -0.572507 -0.484807  0.213518  0.123263 -1.627262  0.296319   \n",
      "\n",
      "           X0        X1  \n",
      "143 -0.515243 -1.651990  \n",
      "196  0.608502 -1.086555  \n",
      "46   1.900898  0.469455  \n",
      "9   -0.188939  0.783945  \n",
      "17   2.110831 -1.637352  \n",
      "..        ...       ...  \n",
      "28  -0.210616 -0.471153  \n",
      "273 -2.020364 -0.348019  \n",
      "162  2.456335 -2.217724  \n",
      "695  0.391568 -1.177590  \n",
      "794  0.296319 -1.627262  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 143     3.430961\n",
      "196     1.676450\n",
      "46     -6.116730\n",
      "9       8.755592\n",
      "17     10.402576\n",
      "         ...    \n",
      "28      4.753158\n",
      "273    -2.115646\n",
      "162    17.934588\n",
      "695     8.766754\n",
      "794     5.470791\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 143     True\n",
      "196     True\n",
      "46     False\n",
      "9       True\n",
      "17      True\n",
      "       ...  \n",
      "28      True\n",
      "273     True\n",
      "162     True\n",
      "695     True\n",
      "794     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "460 -0.475622  1.378347  0.597975  0.184503 -1.056560 -0.774878  0.997804   \n",
      "270 -0.206312  0.198214 -0.002747  0.136514 -0.920272 -0.790116 -0.029807   \n",
      "787  0.083772  2.897460 -1.819668 -1.691378 -0.779529 -0.571429 -0.318654   \n",
      "363 -1.094109  1.596488 -0.209081 -0.635393 -0.348193 -2.724728  1.738500   \n",
      "394 -1.193673  1.783805 -0.658297  0.524736  0.592888  0.449741  0.668359   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "454 -0.374366  0.308604 -1.075751  0.502187 -1.780666 -0.147872  2.126364   \n",
      "125 -1.513287 -1.100623 -1.587157 -0.180659 -0.209123 -1.245457 -0.609627   \n",
      "441  0.191672  1.544473 -1.272017 -1.240143 -0.223964  0.151050  2.278019   \n",
      "717  0.784248  1.796548  0.804206 -0.405701 -1.511015 -1.543735 -0.785670   \n",
      "503 -2.011356  1.992276 -1.586584  0.628595  0.382689 -0.342653  1.223774   \n",
      "\n",
      "           X0        X1  \n",
      "460  0.997804 -0.774878  \n",
      "270 -0.029807 -0.790116  \n",
      "787 -0.318654 -0.571429  \n",
      "363  1.738500 -2.724728  \n",
      "394  0.668359  0.449741  \n",
      "..        ...       ...  \n",
      "454  2.126364 -0.147872  \n",
      "125 -0.609627 -1.245457  \n",
      "441  2.278019  0.151050  \n",
      "717 -0.785670 -1.543735  \n",
      "503  1.223774 -0.342653  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 460    11.172108\n",
      "270     6.749300\n",
      "787     7.397373\n",
      "363     8.937908\n",
      "394    12.331256\n",
      "         ...    \n",
      "454    12.121477\n",
      "125    -0.052585\n",
      "441    18.248395\n",
      "717     6.273750\n",
      "503    -3.163402\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 460     True\n",
      "270     True\n",
      "787     True\n",
      "363     True\n",
      "394     True\n",
      "       ...  \n",
      "454     True\n",
      "125     True\n",
      "441     True\n",
      "717     True\n",
      "503    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1074\n",
      "INFO:causalml:    RMSE (Treatment):     1.0417\n",
      "INFO:causalml:   sMAPE   (Control):     0.5225\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1999\n",
      "INFO:causalml:    Gini   (Control):     0.7209\n",
      "INFO:causalml:    Gini (Treatment):     0.9865\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0059\n",
      "INFO:causalml:    RMSE (Treatment):     1.0071\n",
      "INFO:causalml:   sMAPE   (Control):     0.4864\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1695\n",
      "INFO:causalml:    Gini   (Control):     0.7898\n",
      "INFO:causalml:    Gini (Treatment):     0.9875\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9534\n",
      "INFO:causalml:    RMSE (Treatment):     1.0334\n",
      "INFO:causalml:   sMAPE   (Control):     0.5827\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1975\n",
      "INFO:causalml:    Gini   (Control):     0.7350\n",
      "INFO:causalml:    Gini (Treatment):     0.9860\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "525 -1.257118  0.330664 -0.915888  0.671743  0.367080 -0.748137  0.450687   \n",
      "240 -1.118451  0.973362  0.110315  1.164763 -0.021371 -0.742111 -0.164940   \n",
      "35  -0.435681 -0.794540 -0.418219 -0.689760  0.350847 -1.512905 -0.001673   \n",
      "466  0.020113  1.393934 -0.355963  1.711858 -0.590929  0.222977  1.567094   \n",
      "243 -2.996842 -0.425847  0.431792  1.635614 -1.242695 -0.323142  1.143186   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "795 -1.103395  1.605360 -1.577250 -0.179236  0.174861  0.283471 -0.625883   \n",
      "979 -1.343553 -0.429367 -0.073222  1.017619  0.843141 -0.743642  0.564612   \n",
      "446  0.592343  0.313503 -0.041499  1.056622  0.324638  0.685480 -2.317766   \n",
      "663  0.921055  0.125452  0.450490 -0.032753 -0.320248  0.770046  0.389654   \n",
      "245 -1.757050  1.779740 -0.756241 -0.346250 -1.023875 -0.470867  0.000910   \n",
      "\n",
      "           X0        X1  \n",
      "525  0.450687 -0.748137  \n",
      "240 -0.164940 -0.742111  \n",
      "35  -0.001673 -1.512905  \n",
      "466  1.567094  0.222977  \n",
      "243  1.143186 -0.323142  \n",
      "..        ...       ...  \n",
      "795 -0.625883  0.283471  \n",
      "979  0.564612 -0.743642  \n",
      "446 -2.317766  0.685480  \n",
      "663  0.389654  0.770046  \n",
      "245  0.000910 -0.470867  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 525     9.406466\n",
      "240     6.512254\n",
      "35     -2.892738\n",
      "466    18.638368\n",
      "243   -10.483545\n",
      "         ...    \n",
      "795     5.028396\n",
      "979    10.393456\n",
      "446     6.907692\n",
      "663    15.384533\n",
      "245     2.675580\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 525     True\n",
      "240     True\n",
      "35     False\n",
      "466     True\n",
      "243    False\n",
      "       ...  \n",
      "795     True\n",
      "979     True\n",
      "446     True\n",
      "663     True\n",
      "245     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "206  0.103730 -1.222034 -0.933344  0.063977  1.399857  0.000319  2.151908   \n",
      "560 -0.462661 -0.232212 -1.504443 -1.182863 -1.370777  0.188339  1.665963   \n",
      "533 -1.862196  2.125772 -0.836537  0.032782 -2.380123 -1.400905 -1.115644   \n",
      "528 -1.197186  2.033324 -0.122422  0.389914 -1.670525  0.477707  0.919813   \n",
      "463 -1.450262  1.052490 -1.091478  0.585210  1.013792  0.704843  0.793687   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "769 -1.792941  0.756132 -0.350476 -0.365354 -0.166349  0.270195  1.808962   \n",
      "280 -0.952118 -0.646225 -1.024826 -0.408950 -0.476089 -1.776295  0.934463   \n",
      "689 -2.206252  1.297100 -1.432744 -2.462582 -1.985402 -2.328632 -0.045690   \n",
      "723  0.089334  1.225408  0.816162  0.782219 -0.602493 -0.468571  0.482690   \n",
      "696  1.374044  1.843108 -0.542039 -0.043563  1.022823 -1.429075  1.809225   \n",
      "\n",
      "           X0        X1  \n",
      "206  2.151908  0.000319  \n",
      "560  1.665963  0.188339  \n",
      "533 -1.115644 -1.400905  \n",
      "528  0.919813  0.477707  \n",
      "463  0.793687  0.704843  \n",
      "..        ...       ...  \n",
      "769  1.808962  0.270195  \n",
      "280  0.934463 -1.776295  \n",
      "689 -0.045690 -2.328632  \n",
      "723  0.482690 -0.468571  \n",
      "696  1.809225 -1.429075  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 206    20.680223\n",
      "560    -7.215301\n",
      "533    -6.739186\n",
      "528     8.156158\n",
      "463    13.719677\n",
      "         ...    \n",
      "769    -5.821681\n",
      "280     5.994137\n",
      "689   -13.994008\n",
      "723    12.592456\n",
      "696    23.158781\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 206     True\n",
      "560    False\n",
      "533     True\n",
      "528     True\n",
      "463     True\n",
      "       ...  \n",
      "769    False\n",
      "280     True\n",
      "689    False\n",
      "723     True\n",
      "696     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0897\n",
      "INFO:causalml:    RMSE (Treatment):     0.9911\n",
      "INFO:causalml:   sMAPE   (Control):     0.5511\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1703\n",
      "INFO:causalml:    Gini   (Control):     0.7123\n",
      "INFO:causalml:    Gini (Treatment):     0.9874\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0492\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "952 -0.660953  0.410799 -1.691342 -0.427253  0.002600 -1.478529  1.918048   \n",
      "877 -0.329610  1.058964 -0.095169 -1.850964  1.588369  1.510118 -0.178392   \n",
      "895 -0.539152 -0.067219 -0.942383  0.206152  0.166660  0.376239  0.972146   \n",
      "114 -0.246959  0.668501 -1.134474  0.249492 -1.934428 -1.135913 -0.308327   \n",
      "457 -1.390795  1.570080 -0.639978  1.787026 -2.865565 -1.465397 -0.257055   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "308 -1.176133  0.314924  0.418085  0.637007  0.911918 -0.742568  0.841509   \n",
      "349 -1.713807  0.945541 -0.100213  0.359346  0.039680 -0.455719  1.268811   \n",
      "764 -1.799079  2.439488 -0.823690 -0.679766 -0.140499  0.202744  1.818416   \n",
      "873 -0.273349 -0.544929  0.632921  0.675695 -0.970007 -1.999815  0.067102   \n",
      "991 -0.262942  0.695928  0.109928 -1.248148 -2.639630 -0.009511  1.550811   \n",
      "\n",
      "           X0        X1  \n",
      "952  1.918048 -1.478529  \n",
      "877 -0.178392  1.510118  \n",
      "895  0.972146  0.376239  \n",
      "114 -0.308327 -1.135913  \n",
      "457 -0.257055 -1.465397  \n",
      "..        ...       ...  \n",
      "308  0.841509 -0.742568  \n",
      "349  1.268811 -0.455719  \n",
      "764  1.818416  0.202744  \n",
      "873  0.067102 -1.999815  \n",
      "991  1.550811 -0.009511  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 952    -2.868485\n",
      "877    12.698322\n",
      "895    12.243751\n",
      "114     0.119504\n",
      "457    -8.028104\n",
      "         ...    \n",
      "308    12.604981\n",
      "349    10.315484\n",
      "764    11.907958\n",
      "873     4.499265\n",
      "991    -7.648859\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 952    False\n",
      "877     True\n",
      "895     True\n",
      "114     True\n",
      "457    False\n",
      "       ...  \n",
      "308     True\n",
      "349     True\n",
      "764     True\n",
      "873     True\n",
      "991    False\n",
      "Name: v0, Length: 1000, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "889 -0.164693 -0.098146  0.862596  0.255460 -0.216842 -1.656429  0.520855   \n",
      "883 -1.149449 -0.077862 -0.130952 -0.114547 -1.504078  1.082394  0.597279   \n",
      "495 -0.887332  0.992530  0.348676  0.724410 -0.731744  1.080723 -0.451440   \n",
      "831 -1.405624 -0.589721 -0.969126  0.575371 -2.125845 -1.547868  1.996688   \n",
      "987 -0.779654  1.379589 -0.474635 -0.208440 -0.895621 -0.919435  0.467998   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "931 -0.593921  0.967747 -0.087519 -0.318961 -0.374575 -1.136714  0.905738   \n",
      "930  0.300960  0.603222 -0.368445 -0.424044  0.242424  1.053366 -0.593627   \n",
      "992 -0.972164  0.159489 -2.098758  0.192947 -0.229343  0.044889 -0.560626   \n",
      "817  0.615579  1.267909 -0.445512 -0.048259  0.461022 -0.247928  1.070838   \n",
      "647 -0.053906  1.500408 -0.769493  1.074275 -0.442873  1.186568 -0.897844   \n",
      "\n",
      "           X0        X1  \n",
      "889  0.520855 -1.656429  \n",
      "883  0.597279  1.082394  \n",
      "495 -0.451440  1.080723  \n",
      "831  1.996688 -1.547868  \n",
      "987  0.467998 -0.919435  \n",
      "..        ...       ...  \n",
      "931  0.905738 -1.136714  \n",
      "930 -0.593627  1.053366  \n",
      "992 -0.560626  0.044889  \n",
      "817  1.070838 -0.247928  \n",
      "647 -0.897844  1.186568  \n",
      "\n",
      "[1000 rows x 9 columns], 'y': 889     9.124434\n",
      "883     5.901248\n",
      "495     7.428448\n",
      "831     4.497600\n",
      "987    -4.527449\n",
      "         ...    \n",
      "931    10.080089\n",
      "930    10.114187\n",
      "992     3.553867\n",
      "817    17.203287\n",
      "647     9.825764\n",
      "Name: y, Length: 1000, dtype: float64, 'treatment': 889     True\n",
      "883     True\n",
      "495     True\n",
      "831     True\n",
      "987    False\n",
      "       ...  \n",
      "931     True\n",
      "930     True\n",
      "992     True\n",
      "817     True\n",
      "647     True\n",
      "Name: v0, Length: 1000, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    RMSE (Treatment):     1.0259\n",
      "INFO:causalml:   sMAPE   (Control):     0.4768\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1909\n",
      "INFO:causalml:    Gini   (Control):     0.6954\n",
      "INFO:causalml:    Gini (Treatment):     0.9849\n",
      "INFO:dowhy.causal_refuters.bootstrap_refuter:Making use of Bootstrap as we have more than 100 examples.\n",
      "                 Note: The greater the number of examples, the more accurate are the confidence estimates\n",
      "INFO:dowhy.causal_refuters.data_subset_refuter:Refutation over 0.8 simulated datasets of size 800.0 each\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1266\n",
      "INFO:causalml:    RMSE (Treatment):     0.7583\n",
      "INFO:causalml:   sMAPE   (Control):     0.5441\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1523\n",
      "INFO:causalml:    Gini   (Control):     0.7189\n",
      "INFO:causalml:    Gini (Treatment):     0.9944\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0595\n",
      "INFO:causalml:    RMSE (Treatment):     0.7478\n",
      "INFO:causalml:   sMAPE   (Control):     0.5545\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1526\n",
      "INFO:causalml:    Gini   (Control):     0.7471\n",
      "INFO:causalml:    Gini (Treatment):     0.9948\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "526  1.675724  0.943376  0.067126  0.549606  0.792403 -0.578182  0.606835   \n",
      "938 -1.315956  1.949162 -0.981438 -0.657011  1.021762 -1.702059  0.071287   \n",
      "252 -0.407608 -0.441935 -1.985984  1.444090  0.083796 -0.670731  0.259822   \n",
      "711  0.099864  0.069601 -0.148899  0.008564 -0.642494 -0.050277  0.035692   \n",
      "946 -0.056748  1.082737  0.733627  1.643594 -0.787399 -1.668734  1.968422   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "17  -2.362098  0.982769  0.900772  0.481628 -0.168328 -1.676616  2.100352   \n",
      "789 -1.419550 -0.199775  1.439845 -0.043468 -0.070078  0.347234  1.237806   \n",
      "970 -1.394364  1.786996  1.473136 -0.626023 -0.659760 -1.513833 -0.140064   \n",
      "340  0.375616  2.217136 -0.666164 -0.970808  0.446217 -0.864206  1.763119   \n",
      "150 -2.720297  0.875790 -0.364609 -0.201468  0.001957 -1.103898  0.006235   \n",
      "\n",
      "           X0        X1  \n",
      "526  0.606835 -0.578182  \n",
      "938  0.071287 -1.702059  \n",
      "252  0.259822 -0.670731  \n",
      "711  0.035692 -0.050277  \n",
      "946  1.968422 -1.668734  \n",
      "..        ...       ...  \n",
      "17   2.100352 -1.676616  \n",
      "789  1.237806  0.347234  \n",
      "970 -0.140064 -1.513833  \n",
      "340  1.763119 -0.864206  \n",
      "150  0.006235 -1.103898  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 526    20.291162\n",
      "938     7.827260\n",
      "252    -0.786820\n",
      "711     8.687897\n",
      "946    16.526801\n",
      "         ...    \n",
      "17     10.402576\n",
      "789    11.103887\n",
      "970     3.837965\n",
      "340    18.529106\n",
      "150     1.212438\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 526     True\n",
      "938     True\n",
      "252    False\n",
      "711     True\n",
      "946     True\n",
      "       ...  \n",
      "17      True\n",
      "789     True\n",
      "970     True\n",
      "340     True\n",
      "150     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "10   0.846619  2.980613  0.205696  2.969570  0.858587 -1.222764  1.147817   \n",
      "753 -3.041559  0.539260  0.080762 -0.522629 -2.000581 -1.113098  0.679077   \n",
      "832 -0.682884  1.926730 -0.161279 -0.512041 -0.170792 -1.586715  0.243828   \n",
      "332 -1.250673  0.380127 -0.875099  1.332656  0.562342  0.345025  1.790799   \n",
      "396 -0.251196 -1.935299 -1.143646 -1.311957 -1.503472  0.517977  0.501330   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "837 -1.599117  0.022039  1.215839  0.749469 -1.528362 -1.775356  1.715229   \n",
      "568  0.513430  0.522040  0.017360 -0.306262 -0.660055 -1.021097  1.297397   \n",
      "925 -0.292250 -0.487899 -1.791678  1.743438 -1.451384 -1.451548 -0.034151   \n",
      "594 -0.485088  0.198923  0.215890  1.387663  0.491391 -1.501354 -0.527038   \n",
      "270 -0.167769  0.239291 -0.121369  0.249183 -0.697704 -0.932864 -0.077138   \n",
      "\n",
      "           X0        X1  \n",
      "10   1.147817 -1.222764  \n",
      "753  0.679077 -1.113098  \n",
      "832  0.243828 -1.586715  \n",
      "332  1.790799  0.345025  \n",
      "396  0.501330  0.517977  \n",
      "..        ...       ...  \n",
      "837  1.715229 -1.775356  \n",
      "568  1.297397 -1.021097  \n",
      "925 -0.034151 -1.451548  \n",
      "594 -0.527038 -1.501354  \n",
      "270 -0.077138 -0.932864  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 10     24.500212\n",
      "753    -3.081806\n",
      "832     7.911675\n",
      "332    16.296656\n",
      "396    -9.105144\n",
      "         ...    \n",
      "837     6.998667\n",
      "568    13.469854\n",
      "925     4.053751\n",
      "594     8.167200\n",
      "270     6.749300\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 10      True\n",
      "753     True\n",
      "832     True\n",
      "332     True\n",
      "396    False\n",
      "       ...  \n",
      "837     True\n",
      "568     True\n",
      "925     True\n",
      "594     True\n",
      "270     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0612\n",
      "INFO:causalml:    RMSE (Treatment):     0.6918\n",
      "INFO:causalml:   sMAPE   (Control):     0.5598\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1391\n",
      "INFO:causalml:    Gini   (Control):     0.7077\n",
      "INFO:causalml:    Gini (Treatment):     0.9946\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "52   0.100104  1.279976  1.033007  1.442204 -1.120492  0.116882 -0.350810   \n",
      "258 -1.776837  0.805692 -1.001388  0.520858  0.798608 -1.470144  0.534863   \n",
      "631  0.271998  2.338601 -1.112341  1.567964 -0.208038 -0.964256  0.333245   \n",
      "970 -1.394364  1.786996  1.473136 -0.626023 -0.659760 -1.513833 -0.140064   \n",
      "499 -1.577195 -0.178122  0.207028  1.204303 -0.666172  1.145283  0.458618   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "730 -0.464492  1.914988  0.441570  2.087402  0.778967 -0.037934  1.464653   \n",
      "538 -1.000985  2.417859  0.027563  1.436945  1.891137 -2.054885  0.763508   \n",
      "845 -1.215958 -0.485289 -1.167214  0.914403 -1.773236  0.103620 -0.518889   \n",
      "979 -1.320009 -0.547319  0.058828  1.048133  1.078373 -0.857583  0.480911   \n",
      "956 -0.371871 -2.250709  0.444837  1.333937 -1.775519 -1.056909  0.569966   \n",
      "\n",
      "           X0        X1  \n",
      "52  -0.350810  0.116882  \n",
      "258  0.534863 -1.470144  \n",
      "631  0.333245 -0.964256  \n",
      "970 -0.140064 -1.513833  \n",
      "499  0.458618  1.145283  \n",
      "..        ...       ...  \n",
      "730  1.464653 -0.037934  \n",
      "538  0.763508 -2.054885  \n",
      "845 -0.518889  0.103620  \n",
      "979  0.480911 -0.857583  \n",
      "956  0.569966 -1.056909  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 52      9.973921\n",
      "258     8.016723\n",
      "631    14.220450\n",
      "970     3.837965\n",
      "499     8.058945\n",
      "         ...    \n",
      "730    20.892188\n",
      "538    16.761939\n",
      "845    -8.309502\n",
      "979    10.393456\n",
      "956     4.438298\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 52      True\n",
      "258     True\n",
      "631     True\n",
      "970     True\n",
      "499     True\n",
      "       ...  \n",
      "730     True\n",
      "538     True\n",
      "845    False\n",
      "979     True\n",
      "956     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "139 -1.494898  1.076908  0.509008 -0.008836  0.810677 -0.868950  0.996169   \n",
      "425 -0.547299  1.010457  0.355019  0.509403 -0.299352 -1.751637  1.623652   \n",
      "512 -1.320082  1.599199  1.561314  2.979497 -1.486751 -1.162078  0.346264   \n",
      "491  0.047326  0.391397 -0.404472  0.060057  0.642744 -0.800913 -0.652640   \n",
      "441  0.096609  1.592914 -1.201277 -1.185385 -0.135004  0.210872  2.310466   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "866 -2.492060  0.007731 -0.940262 -0.496057  1.104068  0.043952  0.520345   \n",
      "838 -0.753922 -0.045816 -0.873461  1.047785 -0.824178 -1.028226 -0.543500   \n",
      "942 -1.242170  1.302580 -0.669569 -0.436052 -0.873213 -1.051785  0.880964   \n",
      "741 -0.491645  2.790552 -1.320505 -0.920479 -1.283653 -0.399134 -0.088422   \n",
      "504 -1.822921  2.092858  0.863527 -0.530852 -1.148241 -0.820791  0.423434   \n",
      "\n",
      "           X0        X1  \n",
      "139  0.996169 -0.868950  \n",
      "425  1.623652 -1.751637  \n",
      "512  0.346264 -1.162078  \n",
      "491 -0.652640 -0.800913  \n",
      "441  2.310466  0.210872  \n",
      "..        ...       ...  \n",
      "866  0.520345  0.043952  \n",
      "838 -0.543500 -1.028226  \n",
      "942  0.880964 -1.051785  \n",
      "741 -0.088422 -0.399134  \n",
      "504  0.423434 -0.820791  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 139    11.778033\n",
      "425    13.323890\n",
      "512     8.367137\n",
      "491     8.770425\n",
      "441    18.248395\n",
      "         ...    \n",
      "866     6.414822\n",
      "838     3.145267\n",
      "942     6.530430\n",
      "741     5.593102\n",
      "504     4.307409\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 139    True\n",
      "425    True\n",
      "512    True\n",
      "491    True\n",
      "441    True\n",
      "       ... \n",
      "866    True\n",
      "838    True\n",
      "942    True\n",
      "741    True\n",
      "504    True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    RMSE   (Control):     3.0428\n",
      "INFO:causalml:    RMSE (Treatment):     0.7573\n",
      "INFO:causalml:   sMAPE   (Control):     0.5377\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1472\n",
      "INFO:causalml:    Gini   (Control):     0.7402\n",
      "INFO:causalml:    Gini (Treatment):     0.9938\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0320\n",
      "INFO:causalml:    RMSE (Treatment):     0.7062\n",
      "INFO:causalml:   sMAPE   (Control):     0.5521\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1479\n",
      "INFO:causalml:    Gini   (Control):     0.7289\n",
      "INFO:causalml:    Gini (Treatment):     0.9946\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0591\n",
      "INFO:causalml:    RMSE (Treatment):     0.7414\n",
      "INFO:causalml:   sMAPE   (Control):     0.5376\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1489\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "556 -1.361029  0.354536 -0.575247 -1.264914 -0.170182 -2.098308 -0.219006   \n",
      "591 -1.762898  1.105254  1.394248  0.278984 -0.431230 -0.144092 -0.668399   \n",
      "603  0.768344  1.258159 -0.927093  0.093637  0.910444 -0.339078  1.272218   \n",
      "65  -2.860295  0.491337  0.307032  0.402665  0.265118 -1.899636 -0.565288   \n",
      "275 -2.120068 -0.318202  0.171676  1.909965 -0.392065 -1.480635 -1.148364   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "238 -0.166010  0.774921 -0.462897 -0.294769 -1.389314 -0.210174  2.431329   \n",
      "377 -2.792060  1.482096 -1.502509 -0.178419 -1.393264 -0.224015 -0.587890   \n",
      "327 -1.263486  1.105278 -1.375127  0.828352 -2.622254 -1.555671  0.808030   \n",
      "721  0.285260 -0.083247 -2.164773  0.446914 -0.582682 -1.433214  0.854157   \n",
      "585  0.931665  0.595916 -0.103318  0.428966  0.099797  0.546834  0.794030   \n",
      "\n",
      "           X0        X1  \n",
      "556 -0.219006 -2.098308  \n",
      "591 -0.668399 -0.144092  \n",
      "603  1.272218 -0.339078  \n",
      "65  -0.565288 -1.899636  \n",
      "275 -1.148364 -1.480635  \n",
      "..        ...       ...  \n",
      "238  2.431329 -0.210174  \n",
      "377 -0.587890 -0.224015  \n",
      "327  0.808030 -1.555671  \n",
      "721  0.854157 -1.433214  \n",
      "585  0.794030  0.546834  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 556     0.746452\n",
      "591     3.407731\n",
      "603    19.861939\n",
      "65     -0.860515\n",
      "275    -1.163599\n",
      "         ...    \n",
      "238    14.670040\n",
      "377    -3.680926\n",
      "327     1.918859\n",
      "721     9.936280\n",
      "585    17.683899\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 556    True\n",
      "591    True\n",
      "603    True\n",
      "65     True\n",
      "275    True\n",
      "       ... \n",
      "238    True\n",
      "377    True\n",
      "327    True\n",
      "721    True\n",
      "585    True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "927 -0.585546  0.718989 -1.390052  1.452628 -1.072161  0.379900  1.646249   \n",
      "501 -1.563067  0.827427  1.267829 -0.259303 -1.929615 -0.584444  0.461660   \n",
      "25  -0.690786  1.699003 -0.408257  0.040733 -2.094357 -0.544787  1.407147   \n",
      "50  -0.250699 -0.035041 -0.605283  0.316777 -1.389142  1.439943  0.671531   \n",
      "858 -2.847642  1.463499  1.836013 -0.281452 -0.828618 -0.584263 -0.020862   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "505 -2.479285  0.847818  0.513598 -0.218587  0.793758 -1.587561  1.340198   \n",
      "478 -1.186330  1.319188 -0.988151  0.448109  0.338470 -1.917601  1.262970   \n",
      "67  -0.786445  0.153501 -0.155530  1.019364 -0.536998 -2.323703 -1.580963   \n",
      "773 -1.096836 -0.432951 -0.837524 -0.231672 -0.535628 -1.020083 -0.353180   \n",
      "971 -1.011609  0.842579 -1.257641  1.094270  0.446977  1.836771  1.109406   \n",
      "\n",
      "           X0        X1  \n",
      "927  1.646249  0.379900  \n",
      "501  0.461660 -0.584444  \n",
      "25   1.407147 -0.544787  \n",
      "50   0.671531  1.439943  \n",
      "858 -0.020862 -0.584263  \n",
      "..        ...       ...  \n",
      "505  1.340198 -1.587561  \n",
      "478  1.262970 -1.917601  \n",
      "67  -1.580963 -2.323703  \n",
      "773 -0.353180 -1.020083  \n",
      "971  1.109406  1.836771  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 927    -2.729883\n",
      "501     2.593155\n",
      "25      8.623876\n",
      "50      9.813211\n",
      "858     0.976517\n",
      "         ...    \n",
      "505     8.711479\n",
      "478    11.134846\n",
      "67     -0.972001\n",
      "773     1.630931\n",
      "971    16.046613\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 927    False\n",
      "501     True\n",
      "25      True\n",
      "50      True\n",
      "858     True\n",
      "       ...  \n",
      "505     True\n",
      "478     True\n",
      "67      True\n",
      "773     True\n",
      "971     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini   (Control):     0.7470\n",
      "INFO:causalml:    Gini (Treatment):     0.9945\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0006\n",
      "INFO:causalml:    RMSE (Treatment):     0.6701\n",
      "INFO:causalml:   sMAPE   (Control):     0.5528\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1413\n",
      "INFO:causalml:    Gini   (Control):     0.7535\n",
      "INFO:causalml:    Gini (Treatment):     0.9958\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9126\n",
      "INFO:causalml:    RMSE (Treatment):     0.7190\n",
      "INFO:causalml:   sMAPE   (Control):     0.5292\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1424\n",
      "INFO:causalml:    Gini   (Control):     0.7453\n",
      "INFO:causalml:    Gini (Treatment):     0.9944\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "189  0.449357  0.147778  1.294543 -0.691706 -3.244261 -0.423599  0.935502   \n",
      "280 -0.924446 -0.495998 -1.067446 -0.475160 -0.560881 -1.593906  1.057462   \n",
      "516 -0.316795  2.424823  0.020510 -0.536910  0.983380 -0.880608  1.127091   \n",
      "343 -1.245795  1.748387  0.828184 -1.775403 -0.972468 -0.866709  0.489782   \n",
      "554 -1.733641 -1.598375  1.607236  0.161280 -1.096390 -2.406156 -0.029761   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "588 -0.930255 -0.378142  0.632255  0.279449 -1.818598 -1.226886  0.208515   \n",
      "517 -1.392397  0.066449 -0.113032  1.352150 -0.975298 -0.875759  1.033629   \n",
      "544 -1.005914  0.255475 -1.627301  1.838873  0.013614 -1.474838  1.050279   \n",
      "622 -0.848690 -0.845794  0.267025 -0.137135  0.356153 -0.001756  0.376872   \n",
      "808 -0.291951  1.043771 -0.571882 -0.537580  0.895934 -1.203433  1.200730   \n",
      "\n",
      "           X0        X1  \n",
      "189  0.935502 -0.423599  \n",
      "280  1.057462 -1.593906  \n",
      "516  1.127091 -0.880608  \n",
      "343  0.489782 -0.866709  \n",
      "554 -0.029761 -2.406156  \n",
      "..        ...       ...  \n",
      "588  0.208515 -1.226886  \n",
      "517  1.033629 -0.875759  \n",
      "544  1.050279 -1.474838  \n",
      "622  0.376872 -0.001756  \n",
      "808  1.200730 -1.203433  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 189     5.702358\n",
      "280     5.994137\n",
      "516    16.717229\n",
      "343     4.731928\n",
      "554    -8.661899\n",
      "         ...    \n",
      "588    -7.223205\n",
      "517    -4.981074\n",
      "544    10.741956\n",
      "622     8.845133\n",
      "808    14.588358\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 189     True\n",
      "280     True\n",
      "516     True\n",
      "343     True\n",
      "554    False\n",
      "       ...  \n",
      "588    False\n",
      "517    False\n",
      "544     True\n",
      "622     True\n",
      "808     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
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      "639 -2.186421 -0.027222 -0.566212  0.233679 -0.689588  0.053065  1.482137   \n",
      "95  -0.058838  4.762058  0.823520  0.244461 -0.340888 -2.698332 -0.572900   \n",
      "310 -1.369793  1.308092  0.005217  0.374738 -0.826930 -1.722449 -1.553554   \n",
      "852 -3.069755  1.000289 -1.401000  0.920461  0.886048 -1.676077  0.615709   \n",
      "82  -1.435084  0.702458 -0.750261  1.113334 -0.917545 -0.649801 -1.010522   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "413 -0.344967  1.226283 -2.856753 -0.996308 -3.040920 -0.789789  0.101225   \n",
      "620 -0.173878 -0.822082  0.608737 -0.477850 -0.325762 -0.578554  1.573905   \n",
      "337 -2.268327  0.960651 -1.943224 -0.899046 -0.893776 -0.366596 -0.470081   \n",
      "916 -2.328647  0.329460 -0.298049  0.392304  0.526570  0.266795 -0.277838   \n",
      "741 -0.491645  2.790552 -1.320505 -0.920479 -1.283653 -0.399134 -0.088422   \n",
      "\n",
      "           X0        X1  \n",
      "639  1.482137  0.053065  \n",
      "95  -0.572900 -2.698332  \n",
      "310 -1.553554 -1.722449  \n",
      "852  0.615709 -1.676077  \n",
      "82  -1.010522 -0.649801  \n",
      "..        ...       ...  \n",
      "413  0.101225 -0.789789  \n",
      "620  1.573905 -0.578554  \n",
      "337 -0.470081 -0.366596  \n",
      "916 -0.277838  0.266795  \n",
      "741 -0.088422 -0.399134  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 639     7.178158\n",
      "95      9.600613\n",
      "310    -2.023777\n",
      "852     4.981610\n",
      "82      0.633027\n",
      "         ...    \n",
      "413   -10.466301\n",
      "620    12.522042\n",
      "337   -10.149884\n",
      "916     4.529654\n",
      "741     5.593102\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 639     True\n",
      "95      True\n",
      "310     True\n",
      "852     True\n",
      "82      True\n",
      "       ...  \n",
      "413    False\n",
      "620     True\n",
      "337    False\n",
      "916     True\n",
      "741     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9552\n",
      "INFO:causalml:    RMSE (Treatment):     0.6090\n",
      "INFO:causalml:   sMAPE   (Control):     0.5162\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1294\n",
      "INFO:causalml:    Gini   (Control):     0.7544\n",
      "INFO:causalml:    Gini (Treatment):     0.9965\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1323\n",
      "INFO:causalml:    RMSE (Treatment):     0.7235\n",
      "INFO:causalml:   sMAPE   (Control):     0.5527\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1525\n",
      "INFO:causalml:    Gini   (Control):     0.7191\n",
      "INFO:causalml:    Gini (Treatment):     0.9951\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "410 -0.703120  0.450567 -0.504908  0.896033 -1.220663 -3.269095 -1.609582   \n",
      "85  -1.598213  1.517630 -0.586852 -0.114137 -0.935007 -2.850025 -0.268890   \n",
      "207 -1.340535  1.069060  1.086892  0.379268  1.663276 -2.166838  0.824418   \n",
      "286 -0.767221  1.168926  0.081677  0.486259 -1.291802  0.482044  0.276275   \n",
      "895 -0.459769 -0.017087 -0.860174  0.294297  0.061199  0.406711  0.845962   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "705  0.261741  3.188563 -2.010226 -0.517940  1.029141  0.040541  0.750995   \n",
      "529  0.614057 -0.173724  0.014769 -0.498167 -2.710425 -1.591953  0.364769   \n",
      "385  0.098676 -0.311522 -0.271842  0.307693 -1.909032 -1.327209 -1.324019   \n",
      "957 -0.096493  2.758566 -0.130268  0.723499 -1.958197  0.441628 -0.668551   \n",
      "434 -1.319228  1.447448  0.649329 -0.209742 -0.678209 -2.074434 -0.466893   \n",
      "\n",
      "           X0        X1  \n",
      "410 -1.609582 -3.269095  \n",
      "85  -0.268890 -2.850025  \n",
      "207  0.824418 -2.166838  \n",
      "286  0.276275  0.482044  \n",
      "895  0.845962  0.406711  \n",
      "..        ...       ...  \n",
      "705  0.750995  0.040541  \n",
      "529  0.364769 -1.591953  \n",
      "385 -1.324019 -1.327209  \n",
      "957 -0.668551  0.441628  \n",
      "434 -0.466893 -2.074434  \n",
      "\n",
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      "85     -0.384362\n",
      "207    13.068250\n",
      "286     7.882269\n",
      "895    12.243751\n",
      "         ...    \n",
      "705    18.039614\n",
      "529     3.288937\n",
      "385    -1.265529\n",
      "957     6.531621\n",
      "434     1.849930\n",
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      "85     True\n",
      "207    True\n",
      "286    True\n",
      "895    True\n",
      "       ... \n",
      "705    True\n",
      "529    True\n",
      "385    True\n",
      "957    True\n",
      "434    True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "406 -1.787177  0.601264 -0.241539 -0.288932  0.204519  1.070860  0.778961   \n",
      "98  -0.724707 -0.167508 -2.200046  1.316365 -0.652669  1.877820  0.372580   \n",
      "118 -1.274995  1.158275  0.289024 -0.612569 -0.654518  0.424480  0.256109   \n",
      "581 -0.357955  2.656209 -1.192847 -0.701790 -1.368029 -1.040599  1.376946   \n",
      "792 -0.720148  0.309347 -0.138121 -1.657897 -0.246685 -0.155534  1.208282   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "913 -1.875782  0.226743 -0.219598  2.054710  0.145892 -0.134735  0.897215   \n",
      "141 -0.778642  1.177801 -1.433150  0.422531  1.560049 -1.618745  1.400487   \n",
      "892 -1.218494  0.819447 -0.725373 -0.563789 -1.077169 -0.844040 -0.904803   \n",
      "749 -0.836545  0.213895  1.151435  1.882737 -0.742327 -1.583142  1.220717   \n",
      "32  -0.949214  0.797576  0.148739 -0.683603 -1.245559  0.625313  0.634566   \n",
      "\n",
      "           X0        X1  \n",
      "406  0.778961  1.070860  \n",
      "98   0.372580  1.877820  \n",
      "118  0.256109  0.424480  \n",
      "581  1.376946 -1.040599  \n",
      "792  1.208282 -0.155534  \n",
      "..        ...       ...  \n",
      "913  0.897215 -0.134735  \n",
      "141  1.400487 -1.618745  \n",
      "892 -0.904803 -0.844040  \n",
      "749  1.220717 -1.583142  \n",
      "32   0.634566  0.625313  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 406     9.585905\n",
      "98     -3.658929\n",
      "118     6.682644\n",
      "581    10.512753\n",
      "792     9.683267\n",
      "         ...    \n",
      "913    10.638397\n",
      "141    15.976815\n",
      "892    -0.915984\n",
      "749    11.307324\n",
      "32     -5.941016\n",
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      "98     False\n",
      "118     True\n",
      "581     True\n",
      "792     True\n",
      "       ...  \n",
      "913     True\n",
      "141     True\n",
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      "749     True\n",
      "32     False\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
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     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0749\n",
      "INFO:causalml:    RMSE (Treatment):     0.7530\n",
      "INFO:causalml:   sMAPE   (Control):     0.5563\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1509\n",
      "INFO:causalml:    Gini   (Control):     0.7384\n",
      "INFO:causalml:    Gini (Treatment):     0.9941\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0160\n",
      "INFO:causalml:    RMSE (Treatment):     0.7073\n",
      "INFO:causalml:   sMAPE   (Control):     0.5457\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1420\n",
      "INFO:causalml:    Gini   (Control):     0.7585\n",
      "INFO:causalml:    Gini (Treatment):     0.9950\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "909 -0.448326  1.299826  0.401639 -0.500486 -1.006631 -0.906303  1.442992   \n",
      "349 -1.755474  1.024933 -0.194372  0.339537  0.120379 -0.514354  1.189622   \n",
      "814  0.459184  2.326171 -0.114560  0.137966 -0.677452 -1.446683 -0.415932   \n",
      "808 -0.291951  1.043771 -0.571882 -0.537580  0.895934 -1.203433  1.200730   \n",
      "316 -0.460513  0.381744 -1.155697 -0.412682  0.696926 -0.399444  0.467115   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "175 -1.154340  0.806588 -0.662689  0.887440  0.111731 -1.009443  2.862545   \n",
      "586 -1.822525  1.328268 -0.580694  0.434084 -1.937340  0.184012  3.008666   \n",
      "339 -0.174635  1.102320 -0.538718  1.353400 -2.411045 -0.088519 -0.223676   \n",
      "885 -2.040345 -0.486322 -1.615560  0.418978 -1.620201  0.405398  0.986656   \n",
      "775 -2.360643  1.573135 -1.344099  0.823569 -1.137799 -0.227823  0.357754   \n",
      "\n",
      "           X0        X1  \n",
      "909  1.442992 -0.906303  \n",
      "349  1.189622 -0.514354  \n",
      "814 -0.415932 -1.446683  \n",
      "808  1.200730 -1.203433  \n",
      "316  0.467115 -0.399444  \n",
      "..        ...       ...  \n",
      "175  2.862545 -1.009443  \n",
      "586  3.008666  0.184012  \n",
      "339 -0.223676 -0.088519  \n",
      "885  0.986656  0.405398  \n",
      "775  0.357754 -0.227823  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 909    11.235374\n",
      "349    10.315484\n",
      "814     8.970856\n",
      "808    14.588358\n",
      "316    10.974035\n",
      "         ...    \n",
      "175    17.721185\n",
      "586    -8.767996\n",
      "339     4.815990\n",
      "885   -11.199742\n",
      "775    -7.934090\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 909     True\n",
      "349     True\n",
      "814     True\n",
      "808     True\n",
      "316     True\n",
      "       ...  \n",
      "175     True\n",
      "586    False\n",
      "339     True\n",
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      "775    False\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "680 -2.086015  0.221983  0.305686 -0.239145  0.557483 -2.016304 -0.558481   \n",
      "479 -2.501195  0.440413 -0.336028 -0.086759 -2.148200  0.364346 -0.500635   \n",
      "127 -1.184442  1.633850 -0.489806  0.806896 -0.654125 -0.324203 -1.297638   \n",
      "696  1.393340  1.758799 -0.511376 -0.081397  0.909083 -1.352712  1.852517   \n",
      "391 -0.307159  1.106719  1.338069 -1.242240  0.718523  0.202760  0.500101   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "85  -1.598213  1.517630 -0.586852 -0.114137 -0.935007 -2.850025 -0.268890   \n",
      "944 -1.357226  1.319787  0.307083 -0.175397  0.241389 -2.086970  0.097158   \n",
      "677 -0.926078  0.166307 -2.183101  1.988610 -0.286812 -1.952046  0.131363   \n",
      "71  -0.217006  0.453172 -1.028966  1.065666  0.093415  0.336570  1.457445   \n",
      "877 -0.359565  0.826991 -0.179359 -1.811258  1.418593  1.405163 -0.075609   \n",
      "\n",
      "           X0        X1  \n",
      "680 -0.558481 -2.016304  \n",
      "479 -0.500635  0.364346  \n",
      "127 -1.297638 -0.324203  \n",
      "696  1.852517 -1.352712  \n",
      "391  0.500101  0.202760  \n",
      "..        ...       ...  \n",
      "85  -0.268890 -2.850025  \n",
      "944  0.097158 -2.086970  \n",
      "677  0.131363 -1.952046  \n",
      "71   1.457445  0.336570  \n",
      "877 -0.075609  1.405163  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 680    -4.551836\n",
      "479    -4.199785\n",
      "127     2.218793\n",
      "696    23.158781\n",
      "391    13.502571\n",
      "         ...    \n",
      "85     -0.384362\n",
      "944     5.893961\n",
      "677     6.044637\n",
      "71     16.548460\n",
      "877    12.698322\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 680    False\n",
      "479     True\n",
      "127     True\n",
      "696     True\n",
      "391     True\n",
      "       ...  \n",
      "85      True\n",
      "944     True\n",
      "677     True\n",
      "71      True\n",
      "877     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
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     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0539\n",
      "INFO:causalml:    RMSE (Treatment):     0.7237\n",
      "INFO:causalml:   sMAPE   (Control):     0.5291\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1414\n",
      "INFO:causalml:    Gini   (Control):     0.7237\n",
      "INFO:causalml:    Gini (Treatment):     0.9946\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0446\n",
      "INFO:causalml:    RMSE (Treatment):     0.7516\n",
      "INFO:causalml:   sMAPE   (Control):     0.5363\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1535\n",
      "INFO:causalml:    Gini   (Control):     0.7290\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "703 -0.880997 -1.820627  0.171736 -0.167854  0.599802 -2.011412 -0.082251   \n",
      "839 -0.294596  0.983148 -0.666509  0.796590  0.072181 -0.815520  0.188710   \n",
      "893 -1.491824  0.452183 -1.205184  0.340149  1.739224 -0.632809  0.210046   \n",
      "187  0.166212  1.756207  0.174379  0.739862 -0.309621  0.009743 -0.960418   \n",
      "578 -0.125015 -0.484719 -0.554158 -0.644919 -0.352951 -0.169403  0.807828   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "230 -1.551489  1.387095 -0.588754  0.241508 -1.112741 -0.355862  0.419304   \n",
      "541  0.055686 -0.430488 -0.206977 -1.310188 -0.050773 -0.528455 -0.335622   \n",
      "222 -1.038459  1.255839  0.229480 -2.465858 -0.747697 -0.352680  1.793597   \n",
      "352 -0.314322 -0.439802  2.366604  0.701073 -0.609823  0.603549 -0.256803   \n",
      "8   -1.192098  0.543069  0.448059  1.496816  1.148883 -0.101334  0.352319   \n",
      "\n",
      "           X0        X1  \n",
      "703 -0.082251 -2.011412  \n",
      "839  0.188710 -0.815520  \n",
      "893  0.210046 -0.632809  \n",
      "187 -0.960418  0.009743  \n",
      "578  0.807828 -0.169403  \n",
      "..        ...       ...  \n",
      "230  0.419304 -0.355862  \n",
      "541 -0.335622 -0.528455  \n",
      "222  1.793597 -0.352680  \n",
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      "\n",
      "[800 rows x 9 columns], 'y': 703    -3.147667\n",
      "839    10.718157\n",
      "893    10.444157\n",
      "187     9.138120\n",
      "578    -2.946371\n",
      "         ...    \n",
      "230     5.106041\n",
      "541     5.970889\n",
      "222     9.575547\n",
      "352     8.970110\n",
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      "       ...  \n",
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      "222     True\n",
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      "Name: v0, Length: 800, dtype: bool}\n",
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      "444 -0.480592  0.778385 -2.187205  0.209081 -0.399762 -1.417665  0.987812   \n",
      "436 -0.829198 -0.708516 -0.845920  0.281235  0.360107 -0.575813  0.086546   \n",
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      "880 -1.838863  1.807867  2.274113 -0.514016  0.766872 -0.627074  0.533003   \n",
      "336 -3.093855  1.469971  0.367279  1.174817 -0.729766 -2.114001  0.885400   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "377 -2.792060  1.482096 -1.502509 -0.178419 -1.393264 -0.224015 -0.587890   \n",
      "625 -1.336550  0.261883  0.557248 -0.069210  1.161863 -0.761143  1.075224   \n",
      "810 -0.497451  0.532572  0.048320  0.565230 -0.286114 -0.078723 -0.839620   \n",
      "403 -1.630763  2.405041  0.712370  0.529186 -2.230960 -0.416914 -1.593093   \n",
      "229 -1.660012  1.065827  0.301958  1.601869  0.377531  0.371159  3.128694   \n",
      "\n",
      "           X0        X1  \n",
      "444  0.987812 -1.417665  \n",
      "436  0.086546 -0.575813  \n",
      "873 -0.005079 -2.164384  \n",
      "880  0.533003 -0.627074  \n",
      "336  0.885400 -2.114001  \n",
      "..        ...       ...  \n",
      "377 -0.587890 -0.224015  \n",
      "625  1.075224 -0.761143  \n",
      "810 -0.839620 -0.078723  \n",
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      "\n",
      "[800 rows x 9 columns], 'y': 444     9.305666\n",
      "436    -2.400060\n",
      "873     4.499265\n",
      "880    10.445032\n",
      "336     2.926169\n",
      "         ...    \n",
      "377    -3.680926\n",
      "625    12.619755\n",
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      "880     True\n",
      "336     True\n",
      "       ...  \n",
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      "229     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
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     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini (Treatment):     0.9940\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0310\n",
      "INFO:causalml:    RMSE (Treatment):     0.6508\n",
      "INFO:causalml:   sMAPE   (Control):     0.5466\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1352\n",
      "INFO:causalml:    Gini   (Control):     0.7524\n",
      "INFO:causalml:    Gini (Treatment):     0.9958\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0423\n",
      "INFO:causalml:    RMSE (Treatment):     0.6303\n",
      "INFO:causalml:   sMAPE   (Control):     0.5129\n"
     ]
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     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "749 -0.836545  0.213895  1.151435  1.882737 -0.742327 -1.583142  1.220717   \n",
      "972  0.023127  0.650561 -0.921566  1.750151  1.136720 -1.237667 -0.986899   \n",
      "268 -0.008387 -0.345640  0.297517  0.932659 -0.233741 -0.957095 -1.559348   \n",
      "456 -1.180741  1.678642  0.789419  1.087730  0.037308  0.563234  0.500563   \n",
      "444 -0.480592  0.778385 -2.187205  0.209081 -0.399762 -1.417665  0.987812   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "798  0.298268  1.287738 -0.339625  0.484676 -1.361646 -0.844488  0.584065   \n",
      "119 -0.412019 -1.707939  0.133539  0.898397 -0.839980 -0.812084  1.197569   \n",
      "891 -0.294883 -0.574886 -1.010901  1.587116  0.836384  0.457966  2.071495   \n",
      "649 -2.154564  1.280369 -0.834181  1.662134 -0.490512  0.051132  1.668837   \n",
      "928  0.109927 -0.944171 -0.797629  0.166504 -0.799982  0.651497 -1.165977   \n",
      "\n",
      "           X0        X1  \n",
      "749  1.220717 -1.583142  \n",
      "972 -0.986899 -1.237667  \n",
      "268 -1.559348 -0.957095  \n",
      "456  0.500563  0.563234  \n",
      "444  0.987812 -1.417665  \n",
      "..        ...       ...  \n",
      "798  0.584065 -0.844488  \n",
      "119  1.197569 -0.812084  \n",
      "891  2.071495  0.457966  \n",
      "649  1.668837  0.051132  \n",
      "928 -1.165977  0.651497  \n",
      "\n",
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      "972    10.333966\n",
      "268     3.465358\n",
      "456    12.752919\n",
      "444     9.305666\n",
      "         ...    \n",
      "798    10.206839\n",
      "119     9.223485\n",
      "891    20.166272\n",
      "649    11.515556\n",
      "928     3.466874\n",
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      "972    True\n",
      "268    True\n",
      "456    True\n",
      "444    True\n",
      "       ... \n",
      "798    True\n",
      "119    True\n",
      "891    True\n",
      "649    True\n",
      "928    True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "267 -0.878236  2.441374  0.562945  0.761842 -1.538557 -0.622399  0.837778   \n",
      "261 -1.476037  1.628997 -0.398342  1.161776  0.247181  0.421408 -0.968428   \n",
      "816 -0.262987  0.921280 -0.389069 -0.883456 -2.158824 -1.767588 -0.312548   \n",
      "973  0.403785  0.820598 -1.545243  1.044494  1.061604 -1.578398 -1.347821   \n",
      "172 -1.078399  1.722034 -1.675423 -0.026819 -0.577141 -1.633102  1.619526   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "581 -0.357955  2.656209 -1.192847 -0.701790 -1.368029 -1.040599  1.376946   \n",
      "947 -1.534655 -0.090160 -0.309462 -0.872775 -0.925303 -0.554704  1.455779   \n",
      "349 -1.755474  1.024933 -0.194372  0.339537  0.120379 -0.514354  1.189622   \n",
      "791 -0.302223 -0.035221 -0.779010 -1.067815 -1.088018  1.298864  1.837893   \n",
      "457 -1.376599  1.461089 -0.718660  1.781923 -2.802867 -1.477809  0.128276   \n",
      "\n",
      "           X0        X1  \n",
      "267  0.837778 -0.622399  \n",
      "261 -0.968428  0.421408  \n",
      "816 -0.312548 -1.767588  \n",
      "973 -1.347821 -1.578398  \n",
      "172  1.619526 -1.633102  \n",
      "..        ...       ...  \n",
      "581  1.376946 -1.040599  \n",
      "947  1.455779 -0.554704  \n",
      "349  1.189622 -0.514354  \n",
      "791  1.837893  1.298864  \n",
      "457  0.128276 -1.477809  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 267     9.609806\n",
      "261     6.314564\n",
      "816    -0.020121\n",
      "973     8.500263\n",
      "172    10.160763\n",
      "         ...    \n",
      "581    10.512753\n",
      "947     6.326875\n",
      "349    10.315484\n",
      "791    12.700214\n",
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      "261     True\n",
      "816     True\n",
      "973     True\n",
      "172     True\n",
      "       ...  \n",
      "581     True\n",
      "947     True\n",
      "349     True\n",
      "791     True\n",
      "457    False\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE (Treatment):     0.1280\n",
      "INFO:causalml:    Gini   (Control):     0.7234\n",
      "INFO:causalml:    Gini (Treatment):     0.9959\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9207\n",
      "INFO:causalml:    RMSE (Treatment):     0.7112\n",
      "INFO:causalml:   sMAPE   (Control):     0.5407\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1472\n",
      "INFO:causalml:    Gini   (Control):     0.7708\n",
      "INFO:causalml:    Gini (Treatment):     0.9953\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0262\n",
      "INFO:causalml:    RMSE (Treatment):     0.6868\n",
      "INFO:causalml:   sMAPE   (Control):     0.5434\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1467\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "418 -1.575082 -0.671851 -0.031660 -0.315301  0.096593  0.101204 -0.833223   \n",
      "113  0.062439  3.227941 -0.979419  0.293534 -0.847729  0.604221 -0.504114   \n",
      "60   0.305279 -0.220252 -0.191311  1.984745 -1.325471  0.975962 -1.100874   \n",
      "135 -1.650996  2.260611 -1.131024  1.404627 -3.453988  0.098573  0.729032   \n",
      "301 -0.802656 -0.970350  0.487567  0.756892 -0.372002 -0.915336  1.021589   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "835  0.331235  0.078864 -0.421835 -0.926551  1.775880  0.278762  1.594422   \n",
      "8   -1.192098  0.543069  0.448059  1.496816  1.148883 -0.101334  0.352319   \n",
      "37  -0.057527  1.104099 -1.337860  0.103293  1.118403 -1.084497  0.679618   \n",
      "49  -0.982952  2.225363 -1.526931 -0.694241  0.029243 -0.455032  0.234971   \n",
      "939 -0.909925  1.045910  0.159272 -0.074724 -0.073039 -1.209146  2.115223   \n",
      "\n",
      "           X0        X1  \n",
      "418 -0.833223  0.101204  \n",
      "113 -0.504114  0.604221  \n",
      "60  -1.100874  0.975962  \n",
      "135  0.729032  0.098573  \n",
      "301  1.021589 -0.915336  \n",
      "..        ...       ...  \n",
      "835  1.594422  0.278762  \n",
      "8    0.352319 -0.101334  \n",
      "37   0.679618 -1.084497  \n",
      "49   0.234971 -0.455032  \n",
      "939  2.115223 -1.209146  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 418    -5.534462\n",
      "113    10.245959\n",
      "60      6.681242\n",
      "135     2.418843\n",
      "301     9.391349\n",
      "         ...    \n",
      "835    20.490073\n",
      "8      13.374297\n",
      "37     14.525794\n",
      "49      8.274390\n",
      "939    14.519592\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 418    False\n",
      "113     True\n",
      "60      True\n",
      "135     True\n",
      "301     True\n",
      "       ...  \n",
      "835     True\n",
      "8       True\n",
      "37      True\n",
      "49      True\n",
      "939     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "463 -1.384868  1.213614 -1.227984  0.542554  0.851906  1.016157  0.823336   \n",
      "425 -0.547299  1.010457  0.355019  0.509403 -0.299352 -1.751637  1.623652   \n",
      "615 -1.312910  0.549883 -0.743413  1.273369 -2.435562 -1.071918  2.090585   \n",
      "842  0.197790  0.605362 -0.437344 -0.573307  0.107948 -1.436057  0.995390   \n",
      "762  0.100350  0.689221 -0.950142  0.477153 -0.908423  0.109756  2.284619   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "252 -0.407608 -0.441935 -1.985984  1.444090  0.083796 -0.670731  0.259822   \n",
      "844 -0.961302  1.353622  0.111644  1.015867 -2.161583  0.255054  0.858101   \n",
      "935 -1.612218  0.425603  0.450798  1.795192 -1.030650  0.071948  0.533019   \n",
      "884 -0.166472  2.470375 -0.515409  0.360396 -1.543268 -1.070048  0.645882   \n",
      "596 -1.135855  0.142313  0.627392  0.540314  0.120423 -1.359658  2.273243   \n",
      "\n",
      "           X0        X1  \n",
      "463  0.823336  1.016157  \n",
      "425  1.623652 -1.751637  \n",
      "615  2.090585 -1.071918  \n",
      "842  0.995390 -1.436057  \n",
      "762  2.284619  0.109756  \n",
      "..        ...       ...  \n",
      "252  0.259822 -0.670731  \n",
      "844  0.858101  0.255054  \n",
      "935  0.533019  0.071948  \n",
      "884  0.645882 -1.070048  \n",
      "596  2.273243 -1.359658  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 463    13.719677\n",
      "425    13.323890\n",
      "615    -8.516564\n",
      "842    12.471850\n",
      "762    17.175897\n",
      "         ...    \n",
      "252    -0.786820\n",
      "844    -5.710027\n",
      "935     7.518694\n",
      "884     9.392570\n",
      "596    14.773593\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 463     True\n",
      "425     True\n",
      "615    False\n",
      "842     True\n",
      "762     True\n",
      "       ...  \n",
      "252    False\n",
      "844    False\n",
      "935     True\n",
      "884     True\n",
      "596     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini   (Control):     0.7588\n",
      "INFO:causalml:    Gini (Treatment):     0.9957\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1346\n",
      "INFO:causalml:    RMSE (Treatment):     0.7431\n",
      "INFO:causalml:   sMAPE   (Control):     0.5441\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1588\n",
      "INFO:causalml:    Gini   (Control):     0.7470\n",
      "INFO:causalml:    Gini (Treatment):     0.9950\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
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      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "575 -1.620041  1.491617 -0.062211  2.124632 -1.193065 -0.186873 -1.131729   \n",
      "619 -0.665633  0.888952 -1.242832 -1.692269  0.683929 -0.545882 -0.557084   \n",
      "323 -1.225390  1.130518 -1.096882 -0.350487 -0.604044  0.001088  0.390490   \n",
      "616 -1.830382  0.390144  1.344299  0.522921 -0.493492 -0.066279 -0.126978   \n",
      "730 -0.464492  1.914988  0.441570  2.087402  0.778967 -0.037934  1.464653   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "538 -1.000985  2.417859  0.027563  1.436945  1.891137 -2.054885  0.763508   \n",
      "56  -0.181805  0.846647 -1.250481 -0.053526 -0.601944 -0.032988  0.712948   \n",
      "135 -1.650996  2.260611 -1.131024  1.404627 -3.453988  0.098573  0.729032   \n",
      "272 -3.198219  0.554460  0.179309  2.032221 -0.401181 -1.528464  1.415503   \n",
      "372 -0.187672  1.029903 -0.511397  0.030915  0.302991  0.331046  2.442863   \n",
      "\n",
      "           X0        X1  \n",
      "575 -1.131729 -0.186873  \n",
      "619 -0.557084 -0.545882  \n",
      "323  0.390490  0.001088  \n",
      "616 -0.126978 -0.066279  \n",
      "730  1.464653 -0.037934  \n",
      "..        ...       ...  \n",
      "538  0.763508 -2.054885  \n",
      "56   0.712948 -0.032988  \n",
      "135  0.729032  0.098573  \n",
      "272  1.415503 -1.528464  \n",
      "372  2.442863  0.331046  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 575     1.988673\n",
      "619     5.375176\n",
      "323     6.435152\n",
      "616     4.604313\n",
      "730    20.892188\n",
      "         ...    \n",
      "538    16.761939\n",
      "56     -1.924324\n",
      "135     2.418843\n",
      "272    -7.247960\n",
      "372    20.420704\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 575     True\n",
      "619     True\n",
      "323     True\n",
      "616     True\n",
      "730     True\n",
      "       ...  \n",
      "538     True\n",
      "56     False\n",
      "135     True\n",
      "272    False\n",
      "372     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
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     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0101\n",
      "INFO:causalml:    RMSE (Treatment):     0.7229\n",
      "INFO:causalml:   sMAPE   (Control):     0.5357\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1439\n",
      "INFO:causalml:    Gini   (Control):     0.7439\n",
      "INFO:causalml:    Gini (Treatment):     0.9947\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0507\n",
      "INFO:causalml:    RMSE (Treatment):     0.7382\n",
      "INFO:causalml:   sMAPE   (Control):     0.5534\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1506\n",
      "INFO:causalml:    Gini   (Control):     0.7552\n",
      "INFO:causalml:    Gini (Treatment):     0.9949\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "198  0.659512  0.897440  0.294459  0.913949  0.778009  0.324835 -0.038025   \n",
      "134 -2.667587  1.546152  0.275451  1.924880 -1.241239 -1.069396  2.735936   \n",
      "705  0.261741  3.188563 -2.010226 -0.517940  1.029141  0.040541  0.750995   \n",
      "787  0.106762  2.948496 -1.895033 -1.510659 -0.813685 -0.585402 -0.112157   \n",
      "582 -1.856578  1.519025 -0.354817  1.777607 -0.103456 -0.540906  0.894554   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "540 -1.436398  1.926302 -0.447886 -0.040584  2.181020  0.720121  1.462581   \n",
      "720 -0.178107  0.545358 -1.188979 -2.009287 -1.712708  0.183073  2.293672   \n",
      "729 -0.356672  0.996783  0.112431  0.185130 -0.025222 -0.843250 -0.270536   \n",
      "623 -0.801864 -1.215830 -2.351636  1.814226  0.088183 -0.416848  1.256143   \n",
      "500 -0.721612 -0.768412  0.628073  1.455824  1.152325 -0.160033  1.609167   \n",
      "\n",
      "           X0        X1  \n",
      "198 -0.038025  0.324835  \n",
      "134  2.735936 -1.069396  \n",
      "705  0.750995  0.040541  \n",
      "787 -0.112157 -0.585402  \n",
      "582  0.894554 -0.540906  \n",
      "..        ...       ...  \n",
      "540  1.462581  0.720121  \n",
      "720  2.293672  0.183073  \n",
      "729 -0.270536 -0.843250  \n",
      "623  1.256143 -0.416848  \n",
      "500  1.609167 -0.160033  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 198    16.522842\n",
      "134    11.781552\n",
      "705    18.039614\n",
      "787     7.397373\n",
      "582    10.549091\n",
      "         ...    \n",
      "540    19.517995\n",
      "720    11.018665\n",
      "729     8.272864\n",
      "623    11.515329\n",
      "500    17.859054\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 198    True\n",
      "134    True\n",
      "705    True\n",
      "787    True\n",
      "582    True\n",
      "       ... \n",
      "540    True\n",
      "720    True\n",
      "729    True\n",
      "623    True\n",
      "500    True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "359 -1.250892  0.608337 -1.159236  1.196291 -2.448155 -1.418204  2.171817   \n",
      "900 -1.528877  0.854363 -0.020892 -0.125090  1.283825  0.408115 -0.168281   \n",
      "710 -0.753746  2.934628 -1.147550 -0.196935 -0.921997 -0.625230 -0.292340   \n",
      "551 -0.703300  0.665407  1.347444 -0.209059 -0.416380 -0.482778 -0.699907   \n",
      "877 -0.359565  0.826991 -0.179359 -1.811258  1.418593  1.405163 -0.075609   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "330 -1.641813 -0.968627 -0.550355  0.137721  0.993861 -3.243495 -0.204848   \n",
      "41   0.075080 -0.116355 -0.810933  2.222729 -0.150383  0.082462 -0.018712   \n",
      "772 -1.631390  0.465915 -1.149010  1.590925 -0.376748 -1.413846 -0.295266   \n",
      "29  -1.026446  0.591365  0.862837  0.817784 -0.689067 -0.759426 -0.807769   \n",
      "967 -1.386450  1.648145 -0.953457  1.161783 -0.494481 -3.161705  1.259562   \n",
      "\n",
      "           X0        X1  \n",
      "359  2.171817 -1.418204  \n",
      "900 -0.168281  0.408115  \n",
      "710 -0.292340 -0.625230  \n",
      "551 -0.699907 -0.482778  \n",
      "877 -0.075609  1.405163  \n",
      "..        ...       ...  \n",
      "330 -0.204848 -3.243495  \n",
      "41  -0.018712  0.082462  \n",
      "772 -0.295266 -1.413846  \n",
      "29  -0.807769 -0.759426  \n",
      "967  1.259562 -3.161705  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 359     7.556557\n",
      "900     9.560536\n",
      "710     5.904376\n",
      "551     4.944574\n",
      "877    12.698322\n",
      "         ...    \n",
      "330    -3.426282\n",
      "41     12.011428\n",
      "772     3.250030\n",
      "29      3.429318\n",
      "967    -2.657495\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 359     True\n",
      "900     True\n",
      "710     True\n",
      "551     True\n",
      "877     True\n",
      "       ...  \n",
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      "41      True\n",
      "772     True\n",
      "29      True\n",
      "967    False\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "819 -0.213838  0.707596 -1.514565 -0.247908 -0.337350  0.286133  2.415622   \n",
      "951 -3.474533  0.798959 -1.342694 -0.344446  0.399229 -0.460764  1.828910   \n",
      "138  0.549141  0.618552 -0.411559  1.549844 -1.097545  0.417703 -0.088796   \n",
      "815 -1.745923  1.862168 -1.038948  0.258170 -1.036942 -0.586505 -0.189691   \n",
      "689 -2.243570  1.275778 -1.424485 -2.440678 -1.906424 -2.373430 -0.198568   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "404  0.269959 -1.426995 -0.624877  1.207414 -0.632554  0.826927 -0.342909   \n",
      "28   0.355363 -1.712344 -0.541527 -1.500008 -0.178104 -0.523930 -0.313656   \n",
      "54   1.459268  1.943608  1.129690  0.548664 -1.340973 -0.812905 -0.963531   \n",
      "392  0.391364 -0.989100 -0.665144 -0.463719  1.025926  0.692766 -0.147856   \n",
      "830 -0.930911 -0.544095  0.223413  2.002798 -0.116908 -1.217341  0.878953   \n",
      "\n",
      "           X0        X1  \n",
      "819  2.415622  0.286133  \n",
      "951  1.828910 -0.460764  \n",
      "138 -0.088796  0.417703  \n",
      "815 -0.189691 -0.586505  \n",
      "689 -0.198568 -2.373430  \n",
      "..        ...       ...  \n",
      "404 -0.342909  0.826927  \n",
      "28  -0.313656 -0.523930  \n",
      "54  -0.963531 -0.812905  \n",
      "392 -0.147856  0.692766  \n",
      "830  0.878953 -1.217341  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 819    17.249427\n",
      "951    -9.429193\n",
      "138    11.274922\n",
      "815     2.533898\n",
      "689   -13.994008\n",
      "         ...    \n",
      "404    -1.323791\n",
      "28      4.753158\n",
      "54      9.737109\n",
      "392    12.111471\n",
      "830    -1.062782\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 819     True\n",
      "951    False\n",
      "138     True\n",
      "815     True\n",
      "689    False\n",
      "       ...  \n",
      "404    False\n",
      "28      True\n",
      "54      True\n",
      "392     True\n",
      "830    False\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    RMSE   (Control):     3.0887\n",
      "INFO:causalml:    RMSE (Treatment):     0.7302\n",
      "INFO:causalml:   sMAPE   (Control):     0.5598\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1484\n",
      "INFO:causalml:    Gini   (Control):     0.7513\n",
      "INFO:causalml:    Gini (Treatment):     0.9947\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0181\n",
      "INFO:causalml:    RMSE (Treatment):     0.7458\n",
      "INFO:causalml:   sMAPE   (Control):     0.5518\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1555\n",
      "INFO:causalml:    Gini   (Control):     0.7430\n",
      "INFO:causalml:    Gini (Treatment):     0.9943\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0144\n",
      "INFO:causalml:    RMSE (Treatment):     0.6481\n",
      "INFO:causalml:   sMAPE   (Control):     0.5533\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1329\n",
      "INFO:causalml:    Gini   (Control):     0.7747\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "843 -1.819689  2.321605  1.205835  1.378205 -0.687589 -1.421073 -0.008063   \n",
      "171 -1.142720  1.363980 -1.309646 -0.806699 -1.397706  0.591713 -0.245067   \n",
      "554 -1.733641 -1.598375  1.607236  0.161280 -1.096390 -2.406156 -0.029761   \n",
      "343 -1.245795  1.748387  0.828184 -1.775403 -0.972468 -0.866709  0.489782   \n",
      "19  -0.472917 -0.200341 -0.794933  2.274586 -1.165631 -1.449257  0.217406   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "823  0.865119  0.256833 -0.057368  0.192438  0.700995 -1.560342  1.492618   \n",
      "456 -1.180741  1.678642  0.789419  1.087730  0.037308  0.563234  0.500563   \n",
      "913 -1.875782  0.226743 -0.219598  2.054710  0.145892 -0.134735  0.897215   \n",
      "74  -0.996694  0.160173 -2.637286 -2.023282  1.303478 -1.990375  1.207325   \n",
      "424 -1.778586 -0.041397  0.547042 -0.146728 -0.207960  0.620439  1.840962   \n",
      "\n",
      "           X0        X1  \n",
      "843 -0.008063 -1.421073  \n",
      "171 -0.245067  0.591713  \n",
      "554 -0.029761 -2.406156  \n",
      "343  0.489782 -0.866709  \n",
      "19   0.217406 -1.449257  \n",
      "..        ...       ...  \n",
      "823  1.492618 -1.560342  \n",
      "456  0.500563  0.563234  \n",
      "913  0.897215 -0.134735  \n",
      "74   1.207325 -1.990375  \n",
      "424  1.840962  0.620439  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 843     6.032900\n",
      "171     2.573635\n",
      "554    -8.661899\n",
      "343     4.731928\n",
      "19      6.700542\n",
      "         ...    \n",
      "823    18.415087\n",
      "456    12.752919\n",
      "913    10.638397\n",
      "74      8.688916\n",
      "424    -5.690040\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 843     True\n",
      "171     True\n",
      "554    False\n",
      "343     True\n",
      "19      True\n",
      "       ...  \n",
      "823     True\n",
      "456     True\n",
      "913     True\n",
      "74      True\n",
      "424    False\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "943 -2.252890  0.804815 -1.189588  0.399429 -1.924218 -1.450234  0.482038   \n",
      "348 -0.822689  1.950660 -1.773724  0.367062 -1.388543 -1.489743  1.572649   \n",
      "940  1.618120 -0.305935 -1.002070  0.408436 -0.407028 -1.124055  0.103301   \n",
      "406 -1.787177  0.601264 -0.241539 -0.288932  0.204519  1.070860  0.778961   \n",
      "739 -1.946497  0.850165 -0.030473  0.710454  0.237677 -0.545032 -0.878717   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "453 -1.249839 -0.644978 -0.359153  1.084902 -0.516596 -0.365041 -0.139304   \n",
      "583 -0.820218 -0.945137 -1.568877 -0.082810  0.614237 -0.346996  0.919443   \n",
      "963 -1.400546  1.656134 -0.736065  1.479252 -1.067357 -1.225327  0.845018   \n",
      "625 -1.336550  0.261883  0.557248 -0.069210  1.161863 -0.761143  1.075224   \n",
      "375 -1.851590 -0.485257 -0.505663 -0.368564 -1.023961 -1.380998  1.320727   \n",
      "\n",
      "           X0        X1  \n",
      "943  0.482038 -1.450234  \n",
      "348  1.572649 -1.489743  \n",
      "940  0.103301 -1.124055  \n",
      "406  0.778961  1.070860  \n",
      "739 -0.878717 -0.545032  \n",
      "..        ...       ...  \n",
      "453 -0.139304 -0.365041  \n",
      "583  0.919443 -0.346996  \n",
      "963  0.845018 -1.225327  \n",
      "625  1.075224 -0.761143  \n",
      "375  1.320727 -1.380998  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 943   -10.951371\n",
      "348     9.469476\n",
      "940    12.297833\n",
      "406     9.585905\n",
      "739    -3.295801\n",
      "         ...    \n",
      "453     4.442757\n",
      "583    -2.819370\n",
      "963     7.905661\n",
      "625    12.619755\n",
      "375     3.740574\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 943    False\n",
      "348     True\n",
      "940     True\n",
      "406     True\n",
      "739    False\n",
      "       ...  \n",
      "453     True\n",
      "583    False\n",
      "963     True\n",
      "625     True\n",
      "375     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini (Treatment):     0.9962\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0228\n",
      "INFO:causalml:    RMSE (Treatment):     0.6860\n",
      "INFO:causalml:   sMAPE   (Control):     0.5510\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1466\n",
      "INFO:causalml:    Gini   (Control):     0.7470\n",
      "INFO:causalml:    Gini (Treatment):     0.9953\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9469\n",
      "INFO:causalml:    RMSE (Treatment):     0.7414\n",
      "INFO:causalml:   sMAPE   (Control):     0.5231\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "364 -1.078590  1.563574  1.504080 -0.486241 -1.540033 -0.435152  0.956055   \n",
      "932 -1.213129  0.643221 -0.007752  0.320722 -1.204954  0.065085 -0.764774   \n",
      "634 -0.085908  0.582399 -1.871995 -0.128561  1.399274 -2.013647 -0.399001   \n",
      "840  0.863115  0.884267  0.385888  1.081802 -0.236509 -0.114485  0.397843   \n",
      "671 -1.805567  1.966280  0.355705  0.675031 -1.531579 -0.217720 -0.701737   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "616 -1.830382  0.390144  1.344299  0.522921 -0.493492 -0.066279 -0.126978   \n",
      "850 -1.559250  1.506724  0.449602  0.956745 -1.983230 -0.410145  2.749812   \n",
      "144 -0.199659  1.050489  1.034230  1.426123  0.412507  0.336879  2.230533   \n",
      "558 -0.550544  0.440434 -0.750181  1.612420  0.551244  0.168593  1.698572   \n",
      "843 -1.819689  2.321605  1.205835  1.378205 -0.687589 -1.421073 -0.008063   \n",
      "\n",
      "           X0        X1  \n",
      "364  0.956055 -0.435152  \n",
      "932 -0.764774  0.065085  \n",
      "634 -0.399001 -2.013647  \n",
      "840  0.397843 -0.114485  \n",
      "671 -0.701737 -0.217720  \n",
      "..        ...       ...  \n",
      "616 -0.126978 -0.066279  \n",
      "850  2.749812 -0.410145  \n",
      "144  2.230533  0.336879  \n",
      "558  1.698572  0.168593  \n",
      "843 -0.008063 -1.421073  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 364     7.693260\n",
      "932     1.654133\n",
      "634     8.990907\n",
      "840    15.748095\n",
      "671    -6.150284\n",
      "         ...    \n",
      "616     4.604313\n",
      "850    12.795708\n",
      "144    22.522110\n",
      "558    18.249687\n",
      "843     6.032900\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 364     True\n",
      "932     True\n",
      "634     True\n",
      "840     True\n",
      "671    False\n",
      "       ...  \n",
      "616     True\n",
      "850     True\n",
      "144     True\n",
      "558     True\n",
      "843     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "368 -2.298170  1.146523 -1.218792 -0.454870 -0.475421 -1.530454  0.327366   \n",
      "156 -1.847964  1.488048 -0.079643  0.746560 -1.203496 -0.411978  0.865581   \n",
      "728  0.021921  2.347870  1.993858 -2.023822 -0.508237 -0.879659  0.131258   \n",
      "822 -0.308029  1.239229 -1.712106  2.618474 -0.731033 -0.360836  1.878272   \n",
      "503 -2.066140  2.033010 -1.559405  0.352297  0.418520 -0.333911  1.084480   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "805 -2.622025 -0.308385 -0.881486 -0.183280  0.289018 -2.986494  0.245462   \n",
      "25  -0.690786  1.699003 -0.408257  0.040733 -2.094357 -0.544787  1.407147   \n",
      "402 -2.267259  2.356874 -0.312747 -0.267666 -0.938556  0.873383  1.145311   \n",
      "643 -0.837543  2.690282 -0.956587  1.519004 -3.148478  1.188059  1.128666   \n",
      "962 -0.058529  0.632542 -0.738886 -0.663994 -0.868324 -2.555294 -0.708468   \n",
      "\n",
      "           X0        X1  \n",
      "368  0.327366 -1.530454  \n",
      "156  0.865581 -0.411978  \n",
      "728  0.131258 -0.879659  \n",
      "822  1.878272 -0.360836  \n",
      "503  1.084480 -0.333911  \n",
      "..        ...       ...  \n",
      "805  0.245462 -2.986494  \n",
      "25   1.407147 -0.544787  \n",
      "402  1.145311  0.873383  \n",
      "643  1.128666  1.188059  \n",
      "962 -0.708468 -2.555294  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 368     1.367327\n",
      "156     6.574194\n",
      "728     9.374205\n",
      "822    17.217532\n",
      "503    -3.163402\n",
      "         ...    \n",
      "805    -0.721618\n",
      "25      8.623876\n",
      "402     8.213659\n",
      "643     9.118838\n",
      "962     1.353868\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 368     True\n",
      "156     True\n",
      "728     True\n",
      "822     True\n",
      "503    False\n",
      "       ...  \n",
      "805     True\n",
      "25      True\n",
      "402     True\n",
      "643     True\n",
      "962     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE (Treatment):     0.1503\n",
      "INFO:causalml:    Gini   (Control):     0.7236\n",
      "INFO:causalml:    Gini (Treatment):     0.9936\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0841\n",
      "INFO:causalml:    RMSE (Treatment):     0.7612\n",
      "INFO:causalml:   sMAPE   (Control):     0.5448\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1577\n",
      "INFO:causalml:    Gini   (Control):     0.7382\n",
      "INFO:causalml:    Gini (Treatment):     0.9938\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1236\n",
      "INFO:causalml:    RMSE (Treatment):     0.7095\n",
      "INFO:causalml:   sMAPE   (Control):     0.5382\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1403\n",
      "INFO:causalml:    Gini   (Control):     0.7091\n",
      "INFO:causalml:    Gini (Treatment):     0.9948\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "647  0.107638  1.405276 -0.825606  1.040288 -0.390118  1.171509 -0.898491   \n",
      "656 -1.273620  1.797036  2.092367  0.953316  1.197489 -0.625639  0.731893   \n",
      "704 -2.163862  1.694504 -1.310167  0.084654 -0.510292 -1.743878 -0.389615   \n",
      "691 -0.985721  1.895540  0.176961  1.219720 -1.233766 -2.238988  1.283650   \n",
      "665 -2.174730  0.248624 -0.092817 -0.715735  0.210519 -0.742166 -0.077510   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "187  0.166212  1.756207  0.174379  0.739862 -0.309621  0.009743 -0.960418   \n",
      "139 -1.494898  1.076908  0.509008 -0.008836  0.810677 -0.868950  0.996169   \n",
      "86  -1.171030  0.999708 -0.474575 -0.002353  1.214732 -0.432952 -1.419492   \n",
      "981 -1.677948 -1.622248 -1.171652  0.349836 -2.213015  1.101661  0.722546   \n",
      "435 -1.214834  1.792454 -0.114462  0.368086 -0.765766  0.747054  1.689047   \n",
      "\n",
      "           X0        X1  \n",
      "647 -0.898491  1.171509  \n",
      "656  0.731893 -0.625639  \n",
      "704 -0.389615 -1.743878  \n",
      "691  1.283650 -2.238988  \n",
      "665 -0.077510 -0.742166  \n",
      "..        ...       ...  \n",
      "187 -0.960418  0.009743  \n",
      "139  0.996169 -0.868950  \n",
      "86  -1.419492 -0.432952  \n",
      "981  0.722546  1.101661  \n",
      "435  1.689047  0.747054  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 647     9.825764\n",
      "656    15.632059\n",
      "704     0.037896\n",
      "691     9.514980\n",
      "665     2.331887\n",
      "         ...    \n",
      "187     9.138120\n",
      "139    11.778033\n",
      "86      4.893758\n",
      "981   -12.765797\n",
      "435    13.857254\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 647     True\n",
      "656     True\n",
      "704     True\n",
      "691     True\n",
      "665     True\n",
      "       ...  \n",
      "187     True\n",
      "139     True\n",
      "86      True\n",
      "981    False\n",
      "435     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "914 -0.033438  1.223195  0.288715 -0.542490 -0.948134  0.723902  1.010993   \n",
      "658 -0.901419  0.202237 -2.133776  0.712530 -0.236428 -0.743572  0.753088   \n",
      "366 -1.403735  1.313386  1.988391 -0.578266  1.442075  1.501325  0.150474   \n",
      "775 -2.360643  1.573135 -1.344099  0.823569 -1.137799 -0.227823  0.357754   \n",
      "519 -0.928551  1.643629 -0.012840 -0.089474 -1.289071 -0.902553  0.551816   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "216 -1.185130  1.723057 -2.436984 -0.947938 -0.797647 -1.237892  0.020300   \n",
      "121  1.534365  1.840154 -0.218035 -0.257249 -0.734629 -0.767329 -1.295119   \n",
      "495 -0.937219  0.875867  0.303746  0.659802 -0.598222  1.107266 -0.420269   \n",
      "619 -0.665633  0.888952 -1.242832 -1.692269  0.683929 -0.545882 -0.557084   \n",
      "942 -1.242170  1.302580 -0.669569 -0.436052 -0.873213 -1.051785  0.880964   \n",
      "\n",
      "           X0        X1  \n",
      "914  1.010993  0.723902  \n",
      "658  0.753088 -0.743572  \n",
      "366  0.150474  1.501325  \n",
      "775  0.357754 -0.227823  \n",
      "519  0.551816 -0.902553  \n",
      "..        ...       ...  \n",
      "216  0.020300 -1.237892  \n",
      "121 -1.295119 -0.767329  \n",
      "495 -0.420269  1.107266  \n",
      "619 -0.557084 -0.545882  \n",
      "942  0.880964 -1.051785  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 914    12.801840\n",
      "658     8.483868\n",
      "366    13.879918\n",
      "775    -7.934090\n",
      "519     6.513308\n",
      "         ...    \n",
      "216     2.376140\n",
      "121     8.541463\n",
      "495     7.428448\n",
      "619     5.375176\n",
      "942     6.530430\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 914     True\n",
      "658     True\n",
      "366     True\n",
      "775    False\n",
      "519     True\n",
      "       ...  \n",
      "216     True\n",
      "121     True\n",
      "495     True\n",
      "619     True\n",
      "942     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "641 -2.239311  2.194117 -0.353902  0.360330  0.632691 -1.221853 -0.388297   \n",
      "470 -0.119189  2.038863 -0.185731 -0.858254 -2.226518 -0.985301 -1.027339   \n",
      "507 -1.568032 -0.180577 -1.663979  0.966254 -1.411487 -2.027152  0.819706   \n",
      "826 -1.770524  1.148010 -0.657719  0.002402 -0.619052 -2.314279  0.680449   \n",
      "464 -1.458938  1.066085 -0.038658 -0.458790  0.563506  0.649619  0.007999   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "754 -1.008916  0.089333 -0.381037  1.182553  0.653293 -0.475920  0.036262   \n",
      "305 -2.363560  1.924215  1.711203 -1.273183 -0.441145 -0.403834  1.202634   \n",
      "855 -1.525195  2.679573  0.256933 -0.844142 -0.237770 -0.840204  0.824960   \n",
      "248 -0.322096  0.956739 -1.722687  0.445099  1.192956 -0.951015 -0.322611   \n",
      "649 -2.154564  1.280369 -0.834181  1.662134 -0.490512  0.051132  1.668837   \n",
      "\n",
      "           X0        X1  \n",
      "641 -0.388297 -1.221853  \n",
      "470 -1.027339 -0.985301  \n",
      "507  0.819706 -2.027152  \n",
      "826  0.680449 -2.314279  \n",
      "464  0.007999  0.649619  \n",
      "..        ...       ...  \n",
      "754  0.036262 -0.475920  \n",
      "305  1.202634 -0.403834  \n",
      "855  0.824960 -0.840204  \n",
      "248 -0.322611 -0.951015  \n",
      "649  1.668837  0.051132  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 641     4.862547\n",
      "470    -0.021734\n",
      "507    -8.258449\n",
      "826     3.753175\n",
      "464     8.601975\n",
      "         ...    \n",
      "754     9.673575\n",
      "305     7.299002\n",
      "855     8.939223\n",
      "248    10.511960\n",
      "649    11.515556\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 641     True\n",
      "470     True\n",
      "507    False\n",
      "826     True\n",
      "464     True\n",
      "       ...  \n",
      "754     True\n",
      "305     True\n",
      "855     True\n",
      "248     True\n",
      "649     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    RMSE   (Control):     3.0128\n",
      "INFO:causalml:    RMSE (Treatment):     0.7183\n",
      "INFO:causalml:   sMAPE   (Control):     0.5521\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1389\n",
      "INFO:causalml:    Gini   (Control):     0.7298\n",
      "INFO:causalml:    Gini (Treatment):     0.9944\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1668\n",
      "INFO:causalml:    RMSE (Treatment):     0.7702\n",
      "INFO:causalml:   sMAPE   (Control):     0.5480\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1526\n",
      "INFO:causalml:    Gini   (Control):     0.7192\n",
      "INFO:causalml:    Gini (Treatment):     0.9944\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9965\n",
      "INFO:causalml:    RMSE (Treatment):     0.7273\n",
      "INFO:causalml:   sMAPE   (Control):     0.5443\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1442\n",
      "INFO:causalml:    Gini   (Control):     0.7526\n",
      "INFO:causalml:    Gini (Treatment):     0.9950\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "897 -0.501089 -1.031997 -1.334448 -0.012652 -0.451207 -0.315850 -0.369898   \n",
      "172 -1.078399  1.722034 -1.675423 -0.026819 -0.577141 -1.633102  1.619526   \n",
      "20  -0.810576  1.360309 -0.656243  1.132048 -0.926051  0.651433  1.648609   \n",
      "323 -1.225390  1.130518 -1.096882 -0.350487 -0.604044  0.001088  0.390490   \n",
      "900 -1.528877  0.854363 -0.020892 -0.125090  1.283825  0.408115 -0.168281   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "779 -1.245329  0.830018  0.144683  0.171689  0.322303 -0.800108 -0.118539   \n",
      "556 -1.361029  0.354536 -0.575247 -1.264914 -0.170182 -2.098308 -0.219006   \n",
      "461 -1.364660 -1.842826  0.241333  0.373454 -0.367738  0.860921  0.880397   \n",
      "958 -0.495343  0.847053 -0.028871 -0.718100 -0.871586 -0.630299 -0.132512   \n",
      "49  -0.982952  2.225363 -1.526931 -0.694241  0.029243 -0.455032  0.234971   \n",
      "\n",
      "           X0        X1  \n",
      "897 -0.369898 -0.315850  \n",
      "172  1.619526 -1.633102  \n",
      "20   1.648609  0.651433  \n",
      "323  0.390490  0.001088  \n",
      "900 -0.168281  0.408115  \n",
      "..        ...       ...  \n",
      "779 -0.118539 -0.800108  \n",
      "556 -0.219006 -2.098308  \n",
      "461  0.880397  0.860921  \n",
      "958 -0.132512 -0.630299  \n",
      "49   0.234971 -0.455032  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 897    -4.566144\n",
      "172    10.160763\n",
      "20     14.509975\n",
      "323     6.435152\n",
      "900     9.560536\n",
      "         ...    \n",
      "779     7.001850\n",
      "556     0.746452\n",
      "461    -6.434741\n",
      "958     5.051010\n",
      "49      8.274390\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 897    False\n",
      "172     True\n",
      "20      True\n",
      "323     True\n",
      "900     True\n",
      "       ...  \n",
      "779     True\n",
      "556     True\n",
      "461    False\n",
      "958     True\n",
      "49      True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "979 -1.320009 -0.547319  0.058828  1.048133  1.078373 -0.857583  0.480911   \n",
      "786  1.321150  2.395540 -1.313403  1.003881 -1.291792 -0.548760 -1.106383   \n",
      "809 -1.846180  1.505397  0.539237  1.200542 -1.354442 -0.559294  0.909066   \n",
      "941 -0.858300  2.689664  0.060630 -0.800292 -0.649474 -0.542851  0.680252   \n",
      "342 -1.702353 -0.506216 -1.938204 -0.079481 -0.042667 -1.379694  0.242173   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "371 -2.437457  1.813953 -0.635430 -0.294641 -0.408002  0.338137  0.274353   \n",
      "299 -1.370319  0.104371 -0.773003  1.741095  0.119556 -1.227923 -0.272634   \n",
      "234  0.299190 -0.331887 -1.279492  1.419962 -1.114102 -1.432604  0.304340   \n",
      "953 -2.210788  0.834261 -1.790993  0.421272 -1.301499 -0.508087 -0.600657   \n",
      "365 -0.079718 -0.263842  0.747338  0.929554  0.426811 -1.590757  1.366447   \n",
      "\n",
      "           X0        X1  \n",
      "979  0.480911 -0.857583  \n",
      "786 -1.106383 -0.548760  \n",
      "809  0.909066 -0.559294  \n",
      "941  0.680252 -0.542851  \n",
      "342  0.242173 -1.379694  \n",
      "..        ...       ...  \n",
      "371  0.274353  0.338137  \n",
      "299 -0.272634 -1.227923  \n",
      "234  0.304340 -1.432604  \n",
      "953 -0.600657 -0.508087  \n",
      "365  1.366447 -1.590757  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 979    10.393456\n",
      "786     8.954078\n",
      "809     7.084273\n",
      "941     9.630585\n",
      "342    -6.856146\n",
      "         ...    \n",
      "371     4.468847\n",
      "299     5.614664\n",
      "234     7.980017\n",
      "953    -9.484729\n",
      "365    15.195618\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 979     True\n",
      "786     True\n",
      "809     True\n",
      "941     True\n",
      "342    False\n",
      "       ...  \n",
      "371     True\n",
      "299     True\n",
      "234     True\n",
      "953    False\n",
      "365     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1210\n",
      "INFO:causalml:    RMSE (Treatment):     0.6654\n",
      "INFO:causalml:   sMAPE   (Control):     0.5705\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1382\n",
      "INFO:causalml:    Gini   (Control):     0.7480\n",
      "INFO:causalml:    Gini (Treatment):     0.9959\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0215\n",
      "INFO:causalml:    RMSE (Treatment):     0.6435\n",
      "INFO:causalml:   sMAPE   (Control):     0.5569\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1369\n",
      "INFO:causalml:    Gini   (Control):     0.7462\n",
      "INFO:causalml:    Gini (Treatment):     0.9960\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "158 -0.957173  1.371619 -0.480406  1.601165 -1.831360 -1.142136  2.213026   \n",
      "970 -1.394364  1.786996  1.473136 -0.626023 -0.659760 -1.513833 -0.140064   \n",
      "299 -1.370319  0.104371 -0.773003  1.741095  0.119556 -1.227923 -0.272634   \n",
      "338  0.024125  2.398870 -0.344341  0.049499 -0.135206 -1.931463  1.292749   \n",
      "490 -2.391954  2.550940 -0.776817  0.245312  0.292239  1.475404  1.305845   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "875 -2.411078  0.159398  0.119580  0.748787 -0.457547  0.313736 -0.560625   \n",
      "940  1.618120 -0.305935 -1.002070  0.408436 -0.407028 -1.124055  0.103301   \n",
      "38  -0.603358  0.428043 -1.045056 -0.064250 -1.028287 -0.614795  2.905953   \n",
      "528 -1.220354  1.951022 -0.143826  0.399718 -1.725250  0.579914  0.826622   \n",
      "126 -0.113592  2.137890  0.587189 -0.608982 -0.434552 -1.535190  0.152988   \n",
      "\n",
      "           X0        X1  \n",
      "158  2.213026 -1.142136  \n",
      "970 -0.140064 -1.513833  \n",
      "299 -0.272634 -1.227923  \n",
      "338  1.292749 -1.931463  \n",
      "490  1.305845  1.475404  \n",
      "..        ...       ...  \n",
      "875 -0.560625  0.313736  \n",
      "940  0.103301 -1.124055  \n",
      "38   2.905953 -0.614795  \n",
      "528  0.826622  0.579914  \n",
      "126  0.152988 -1.535190  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 158    12.243766\n",
      "970     3.837965\n",
      "299     5.614664\n",
      "338    14.613827\n",
      "490    -3.562790\n",
      "         ...    \n",
      "875     1.205333\n",
      "940    12.297833\n",
      "38     15.173396\n",
      "528     8.156158\n",
      "126     9.175909\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 158     True\n",
      "970     True\n",
      "299     True\n",
      "338     True\n",
      "490    False\n",
      "       ...  \n",
      "875     True\n",
      "940     True\n",
      "38      True\n",
      "528     True\n",
      "126     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "981 -1.677948 -1.622248 -1.171652  0.349836 -2.213015  1.101661  0.722546   \n",
      "610 -0.711808  1.595194  0.094204  0.005941 -1.302585 -0.669101  1.030998   \n",
      "356 -1.087973  1.063452 -0.582690 -0.391019 -0.717769  0.567377  0.968256   \n",
      "829 -1.396963 -0.080609 -2.047189 -0.910429 -1.164537 -1.251936 -0.347075   \n",
      "756  0.646687  0.512998 -0.425760  0.363156 -1.685429 -1.135889  1.931878   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "454 -0.487418  0.412049 -0.859189  0.620612 -1.830073 -0.234510  2.177056   \n",
      "489 -0.365082 -1.451807 -0.737839  0.617674  0.183613 -0.899562 -1.117287   \n",
      "917 -2.304123  1.615978  1.217869  0.195346 -0.128304 -2.287419  1.444336   \n",
      "371 -2.437457  1.813953 -0.635430 -0.294641 -0.408002  0.338137  0.274353   \n",
      "936 -0.482737 -0.826928 -0.542605 -0.831002 -1.069918 -2.562988  1.258835   \n",
      "\n",
      "           X0        X1  \n",
      "981  0.722546  1.101661  \n",
      "610  1.030998 -0.669101  \n",
      "356  0.968256  0.567377  \n",
      "829 -0.347075 -1.251936  \n",
      "756  1.931878 -1.135889  \n",
      "..        ...       ...  \n",
      "454  2.177056 -0.234510  \n",
      "489 -1.117287 -0.899562  \n",
      "917  1.444336 -2.287419  \n",
      "371  0.274353  0.338137  \n",
      "936  1.258835 -2.562988  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 981   -12.765797\n",
      "610     9.248446\n",
      "356    -4.713297\n",
      "829    -9.531238\n",
      "756    13.898148\n",
      "         ...    \n",
      "454    12.121477\n",
      "489     2.992182\n",
      "917    -4.386132\n",
      "371     4.468847\n",
      "936     4.998172\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 981    False\n",
      "610     True\n",
      "356    False\n",
      "829    False\n",
      "756     True\n",
      "       ...  \n",
      "454     True\n",
      "489     True\n",
      "917    False\n",
      "371     True\n",
      "936     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
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     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0191\n",
      "INFO:causalml:    RMSE (Treatment):     0.7000\n",
      "INFO:causalml:   sMAPE   (Control):     0.5560\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1486\n",
      "INFO:causalml:    Gini   (Control):     0.7625\n",
      "INFO:causalml:    Gini (Treatment):     0.9959\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0636\n",
      "INFO:causalml:    RMSE (Treatment):     0.7485\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "860 -0.100403  1.765904 -1.580557 -0.337570  0.115587 -0.811085 -0.628878   \n",
      "897 -0.501089 -1.031997 -1.334448 -0.012652 -0.451207 -0.315850 -0.369898   \n",
      "758 -0.238995  0.258464 -0.815419  0.855917 -0.016059 -1.265210  1.154044   \n",
      "0   -1.124599  0.284335 -0.838580  1.223258 -0.089772 -0.633368 -1.372310   \n",
      "521 -1.235550  2.140683 -2.152255  0.310299 -1.837627 -0.705293 -0.465131   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "818 -2.294772  1.081263 -0.110948  0.240523 -2.452061 -0.676310  1.024324   \n",
      "822 -0.308029  1.239229 -1.712106  2.618474 -0.731033 -0.360836  1.878272   \n",
      "540 -1.436398  1.926302 -0.447886 -0.040584  2.181020  0.720121  1.462581   \n",
      "383 -1.820459  0.011031 -1.003686 -0.301110  0.254573 -1.724935  0.863482   \n",
      "708 -0.500479  1.096561  0.068238 -0.285794 -0.225941 -1.796636  1.564528   \n",
      "\n",
      "           X0        X1  \n",
      "860 -0.628878 -0.811085  \n",
      "897 -0.369898 -0.315850  \n",
      "758  1.154044 -1.265210  \n",
      "0   -1.372310 -0.633368  \n",
      "521 -0.465131 -0.705293  \n",
      "..        ...       ...  \n",
      "818  1.024324 -0.676310  \n",
      "822  1.878272 -0.360836  \n",
      "540  1.462581  0.720121  \n",
      "383  0.863482 -1.724935  \n",
      "708  1.564528 -1.796636  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 860     7.407446\n",
      "897    -4.566144\n",
      "758    12.802985\n",
      "0       2.034000\n",
      "521     0.541061\n",
      "         ...    \n",
      "818   -11.770683\n",
      "822    17.217532\n",
      "540    19.517995\n",
      "383     5.450868\n",
      "708    12.369009\n",
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      "897    False\n",
      "758     True\n",
      "0       True\n",
      "521     True\n",
      "       ...  \n",
      "818    False\n",
      "822     True\n",
      "540     True\n",
      "383     True\n",
      "708     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "504 -1.822921  2.092858  0.863527 -0.530852 -1.148241 -0.820791  0.423434   \n",
      "634 -0.085908  0.582399 -1.871995 -0.128561  1.399274 -2.013647 -0.399001   \n",
      "127 -1.184442  1.633850 -0.489806  0.806896 -0.654125 -0.324203 -1.297638   \n",
      "542  0.627854  2.166200 -1.384347  1.110795 -0.604388  0.513683 -0.468804   \n",
      "370 -1.330248  0.617371 -1.086532  0.939956 -1.523047 -0.029272  0.894390   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "793 -0.358699  1.859517 -0.250568 -1.297332 -1.747403 -0.402763  1.328310   \n",
      "365 -0.079718 -0.263842  0.747338  0.929554  0.426811 -1.590757  1.366447   \n",
      "608  0.655518  2.888275 -1.833586 -1.459779  0.528316  1.313325 -0.562842   \n",
      "781 -1.133150  1.232298 -0.515253  0.174776 -0.131612 -1.374035  0.690224   \n",
      "649 -2.154564  1.280369 -0.834181  1.662134 -0.490512  0.051132  1.668837   \n",
      "\n",
      "           X0        X1  \n",
      "504  0.423434 -0.820791  \n",
      "634 -0.399001 -2.013647  \n",
      "127 -1.297638 -0.324203  \n",
      "542 -0.468804  0.513683  \n",
      "370  0.894390 -0.029272  \n",
      "..        ...       ...  \n",
      "793  1.328310 -0.402763  \n",
      "365  1.366447 -1.590757  \n",
      "608 -0.562842  1.313325  \n",
      "781  0.690224 -1.374035  \n",
      "649  1.668837  0.051132  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 504     4.307409\n",
      "634     8.990907\n",
      "127     2.218793\n",
      "542    12.169721\n",
      "370     6.533270\n",
      "         ...    \n",
      "793     9.029191\n",
      "365    15.195618\n",
      "608    13.248344\n",
      "781     8.454186\n",
      "649    11.515556\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 504    True\n",
      "634    True\n",
      "127    True\n",
      "542    True\n",
      "370    True\n",
      "       ... \n",
      "793    True\n",
      "365    True\n",
      "608    True\n",
      "781    True\n",
      "649    True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE   (Control):     0.5449\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1569\n",
      "INFO:causalml:    Gini   (Control):     0.7369\n",
      "INFO:causalml:    Gini (Treatment):     0.9940\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0360\n",
      "INFO:causalml:    RMSE (Treatment):     0.6878\n",
      "INFO:causalml:   sMAPE   (Control):     0.5334\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1338\n",
      "INFO:causalml:    Gini   (Control):     0.7495\n",
      "INFO:causalml:    Gini (Treatment):     0.9950\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
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     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "175 -1.154340  0.806588 -0.662689  0.887440  0.111731 -1.009443  2.862545   \n",
      "357 -0.393043 -0.896794 -0.679593 -0.767907 -0.184818  0.503640 -0.556493   \n",
      "833  0.105901  0.316176  0.723477  1.307736 -0.792919 -1.127981  1.166249   \n",
      "189  0.449357  0.147778  1.294543 -0.691706 -3.244261 -0.423599  0.935502   \n",
      "544 -1.005914  0.255475 -1.627301  1.838873  0.013614 -1.474838  1.050279   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "289  0.772794  0.012983 -0.390292  0.616515  1.060846 -1.481334  1.630755   \n",
      "695 -0.197821 -0.512162  0.067361  0.935517 -0.381064 -1.154606  0.317349   \n",
      "677 -0.926078  0.166307 -2.183101  1.988610 -0.286812 -1.952046  0.131363   \n",
      "607 -0.713550 -0.806284 -0.339457 -0.279553 -0.477920 -0.690686 -0.221325   \n",
      "334 -0.156694  0.911286  0.765684  0.401905 -1.416657 -2.667282 -1.314160   \n",
      "\n",
      "           X0        X1  \n",
      "175  2.862545 -1.009443  \n",
      "357 -0.556493  0.503640  \n",
      "833  1.166249 -1.127981  \n",
      "189  0.935502 -0.423599  \n",
      "544  1.050279 -1.474838  \n",
      "..        ...       ...  \n",
      "289  1.630755 -1.481334  \n",
      "695  0.317349 -1.154606  \n",
      "677  0.131363 -1.952046  \n",
      "607 -0.221325 -0.690686  \n",
      "334 -1.314160 -2.667282  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 175    17.721185\n",
      "357     4.629609\n",
      "833    13.445887\n",
      "189     5.702358\n",
      "544    10.741956\n",
      "         ...    \n",
      "289    19.767563\n",
      "695     8.766754\n",
      "677     6.044637\n",
      "607     3.571733\n",
      "334    -0.271330\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 175    True\n",
      "357    True\n",
      "833    True\n",
      "189    True\n",
      "544    True\n",
      "       ... \n",
      "289    True\n",
      "695    True\n",
      "677    True\n",
      "607    True\n",
      "334    True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0888\n",
      "INFO:causalml:    RMSE (Treatment):     0.7248\n",
      "INFO:causalml:   sMAPE   (Control):     0.5474\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1538\n",
      "INFO:causalml:    Gini   (Control):     0.7380\n",
      "INFO:causalml:    Gini (Treatment):     0.9949\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0995\n",
      "INFO:causalml:    RMSE (Treatment):     0.7069\n",
      "INFO:causalml:   sMAPE   (Control):     0.5420\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1515\n",
      "INFO:causalml:    Gini   (Control):     0.7201\n",
      "INFO:causalml:    Gini (Treatment):     0.9951\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0859\n",
      "INFO:causalml:    RMSE (Treatment):     0.7073\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "228 -0.479531  0.804877 -0.334062  0.447143  0.576800 -0.277841 -0.766331   \n",
      "866 -2.492060  0.007731 -0.940262 -0.496057  1.104068  0.043952  0.520345   \n",
      "851 -1.580498  2.916707 -1.305058  0.877563  0.733961 -1.876975  2.623342   \n",
      "795 -1.189871  1.612262 -1.396546 -0.154045  0.178844  0.278181 -0.852625   \n",
      "241 -0.810324  2.347069 -0.803031  1.814552  0.121529 -2.824841 -0.307345   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "583 -0.820218 -0.945137 -1.568877 -0.082810  0.614237 -0.346996  0.919443   \n",
      "74  -0.996694  0.160173 -2.637286 -2.023282  1.303478 -1.990375  1.207325   \n",
      "453 -1.249839 -0.644978 -0.359153  1.084902 -0.516596 -0.365041 -0.139304   \n",
      "723 -0.107996  1.393754  0.825508  0.735281 -0.586520 -0.348836  0.538970   \n",
      "874  0.534013  2.308714  0.793617  1.992239 -1.610429 -0.414126  1.030813   \n",
      "\n",
      "           X0        X1  \n",
      "228 -0.766331 -0.277841  \n",
      "866  0.520345  0.043952  \n",
      "851  2.623342 -1.876975  \n",
      "795 -0.852625  0.278181  \n",
      "241 -0.307345 -2.824841  \n",
      "..        ...       ...  \n",
      "583  0.919443 -0.346996  \n",
      "74   1.207325 -1.990375  \n",
      "453 -0.139304 -0.365041  \n",
      "723  0.538970 -0.348836  \n",
      "874  1.030813 -0.414126  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 228     8.255998\n",
      "866     6.414822\n",
      "851    18.155148\n",
      "795     5.028396\n",
      "241     7.793042\n",
      "         ...    \n",
      "583    -2.819370\n",
      "74      8.688916\n",
      "453     4.442757\n",
      "723    12.592456\n",
      "874    16.052226\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 228     True\n",
      "866     True\n",
      "851     True\n",
      "795     True\n",
      "241     True\n",
      "       ...  \n",
      "583    False\n",
      "74      True\n",
      "453     True\n",
      "723     True\n",
      "874     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "451 -0.565758  1.128663 -0.324990 -0.337899 -0.015063  0.346414  0.109342   \n",
      "945  0.033044  1.015786  0.124006 -0.242485 -0.539339 -2.297596  1.009465   \n",
      "145 -2.815317  1.548436 -0.624088  0.844806  0.438846  0.070108 -0.126092   \n",
      "777 -0.500132  1.841908  0.773237 -0.146416 -0.489405 -1.162506  1.188357   \n",
      "422 -1.830252  0.894077 -0.267716 -0.367326  2.202751 -0.079619  0.119763   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "293 -2.019915 -0.918739 -1.767926 -1.403425 -0.740373 -1.576824  0.279021   \n",
      "84  -1.231904  0.946563 -0.520574 -1.241545 -1.073605  0.279123  0.201559   \n",
      "549  1.093852  0.562148 -1.545915 -0.970186 -0.027322  0.044818  1.075594   \n",
      "315 -0.753510  0.301264  1.390165  1.628534  0.274823 -0.437217  0.126621   \n",
      "426 -0.479176  1.237188 -0.726685 -0.314696  0.767152 -0.740509 -0.373064   \n",
      "\n",
      "           X0        X1  \n",
      "451  0.109342  0.346414  \n",
      "945  1.009465 -2.297596  \n",
      "145 -0.126092  0.070108  \n",
      "777  1.188357 -1.162506  \n",
      "422  0.119763 -0.079619  \n",
      "..        ...       ...  \n",
      "293  0.279021 -1.576824  \n",
      "84   0.201559  0.279123  \n",
      "549  1.075594  0.044818  \n",
      "315  0.126621 -0.437217  \n",
      "426 -0.373064 -0.740509  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 451     9.760052\n",
      "945    10.461920\n",
      "145    -4.715614\n",
      "777    12.450890\n",
      "422    11.141529\n",
      "         ...    \n",
      "293   -11.609205\n",
      "84     -7.210816\n",
      "549    15.679880\n",
      "315    11.545213\n",
      "426     8.947595\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 451     True\n",
      "945     True\n",
      "145    False\n",
      "777     True\n",
      "422     True\n",
      "       ...  \n",
      "293    False\n",
      "84     False\n",
      "549     True\n",
      "315     True\n",
      "426     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "174 -1.209450  2.573548 -1.875041  0.466606 -2.593907 -0.787080  0.157327   \n",
      "660 -1.323851  1.441421  0.356298 -1.619747  1.211768 -0.134022  0.702311   \n",
      "480 -0.377755  0.312070  0.399832  1.532559  0.348411  0.225440  0.753623   \n",
      "919  0.927871  1.119628 -0.747494 -0.682620  0.435117 -2.887356  0.670618   \n",
      "774 -0.770624  0.071105  0.522571 -0.979329  0.197455 -1.304148  0.066355   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "875 -2.411078  0.159398  0.119580  0.748787 -0.457547  0.313736 -0.560625   \n",
      "568  0.513430  0.522040  0.017360 -0.306262 -0.660055 -1.021097  1.297397   \n",
      "375 -1.851590 -0.485257 -0.505663 -0.368564 -1.023961 -1.380998  1.320727   \n",
      "106 -1.469398  1.456738  0.120477 -0.396731 -2.091289 -1.960327  0.856698   \n",
      "713 -0.587834  2.036860 -1.408772  1.303268 -0.384541 -0.825095 -0.057160   \n",
      "\n",
      "           X0        X1  \n",
      "174  0.157327 -0.787080  \n",
      "660  0.702311 -0.134022  \n",
      "480  0.753623  0.225440  \n",
      "919  0.670618 -2.887356  \n",
      "774  0.066355 -1.304148  \n",
      "..        ...       ...  \n",
      "875 -0.560625  0.313736  \n",
      "568  1.297397 -1.021097  \n",
      "375  1.320727 -1.380998  \n",
      "106  0.856698 -1.960327  \n",
      "713 -0.057160 -0.825095  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 174     1.619585\n",
      "660    11.491007\n",
      "480    15.267030\n",
      "919    12.794015\n",
      "774     6.080336\n",
      "         ...    \n",
      "875     1.205333\n",
      "568    13.469854\n",
      "375     3.740574\n",
      "106    -8.631314\n",
      "713     9.135870\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 174     True\n",
      "660     True\n",
      "480     True\n",
      "919     True\n",
      "774     True\n",
      "       ...  \n",
      "875     True\n",
      "568     True\n",
      "375     True\n",
      "106    False\n",
      "713     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE   (Control):     0.5643\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1448\n",
      "INFO:causalml:    Gini   (Control):     0.7575\n",
      "INFO:causalml:    Gini (Treatment):     0.9950\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0283\n",
      "INFO:causalml:    RMSE (Treatment):     0.7092\n",
      "INFO:causalml:   sMAPE   (Control):     0.5471\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1393\n",
      "INFO:causalml:    Gini   (Control):     0.7309\n",
      "INFO:causalml:    Gini (Treatment):     0.9946\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0752\n",
      "INFO:causalml:    RMSE (Treatment):     0.7231\n",
      "INFO:causalml:   sMAPE   (Control):     0.5220\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1459\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "275 -2.120068 -0.318202  0.171676  1.909965 -0.392065 -1.480635 -1.148364   \n",
      "941 -0.858300  2.689664  0.060630 -0.800292 -0.649474 -0.542851  0.680252   \n",
      "637 -1.283359  0.832725  0.002037 -1.432698 -2.375726 -1.559718  1.057731   \n",
      "132 -4.155165  1.496680 -0.815922  1.278145 -1.973326  0.148467  0.226076   \n",
      "667 -2.198198  0.869380  0.049001  1.338380 -0.046996  0.313350  1.524353   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "775 -2.360643  1.573135 -1.344099  0.823569 -1.137799 -0.227823  0.357754   \n",
      "53  -2.930083  0.879228 -0.579348  0.759465 -0.462352 -2.221874  2.337682   \n",
      "208 -1.829170  0.787526 -0.881231  0.083780 -1.917817 -2.457417  0.754683   \n",
      "157 -1.514941  0.601247 -2.511296  0.377276  0.269567 -0.229923  0.816437   \n",
      "404  0.269959 -1.426995 -0.624877  1.207414 -0.632554  0.826927 -0.342909   \n",
      "\n",
      "           X0        X1  \n",
      "275 -1.148364 -1.480635  \n",
      "941  0.680252 -0.542851  \n",
      "637  1.057731 -1.559718  \n",
      "132  0.226076  0.148467  \n",
      "667  1.524353  0.313350  \n",
      "..        ...       ...  \n",
      "775  0.357754 -0.227823  \n",
      "53   2.337682 -2.221874  \n",
      "208  0.754683 -2.457417  \n",
      "157  0.816437 -0.229923  \n",
      "404 -0.342909  0.826927  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 275    -1.163599\n",
      "941     9.630585\n",
      "637   -10.850731\n",
      "132    -3.629107\n",
      "667    11.985876\n",
      "         ...    \n",
      "775    -7.934090\n",
      "53      7.558222\n",
      "208    -9.928296\n",
      "157     8.671216\n",
      "404    -1.323791\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 275     True\n",
      "941     True\n",
      "637    False\n",
      "132     True\n",
      "667     True\n",
      "       ...  \n",
      "775    False\n",
      "53      True\n",
      "208    False\n",
      "157     True\n",
      "404    False\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "49  -0.982952  2.225363 -1.526931 -0.694241  0.029243 -0.455032  0.234971   \n",
      "682 -0.223833  1.310405 -0.330832  0.125670  1.368049  0.141310 -0.773242   \n",
      "280 -0.924446 -0.495998 -1.067446 -0.475160 -0.560881 -1.593906  1.057462   \n",
      "220  0.757100  1.090061 -0.251709  0.571761 -1.084509 -1.752894  0.512210   \n",
      "862 -2.626160 -0.085283  0.861203  0.598807  0.007442 -1.089904 -0.141363   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "269  0.573973 -0.053532 -0.674589 -3.004365  1.021180 -0.146757  0.753673   \n",
      "194 -1.962419  0.749901 -0.124856  1.434591 -0.397338 -0.555662  0.763135   \n",
      "555 -0.854260 -0.912091 -1.765080  1.636757 -1.353961 -2.104020  1.321314   \n",
      "987 -0.812298  1.417451 -0.621462 -0.360324 -1.103340 -1.337427  0.384151   \n",
      "893 -1.491824  0.452183 -1.205184  0.340149  1.739224 -0.632809  0.210046   \n",
      "\n",
      "           X0        X1  \n",
      "49   0.234971 -0.455032  \n",
      "682 -0.773242  0.141310  \n",
      "280  1.057462 -1.593906  \n",
      "220  0.512210 -1.752894  \n",
      "862 -0.141363 -1.089904  \n",
      "..        ...       ...  \n",
      "269  0.753673 -0.146757  \n",
      "194  0.763135 -0.555662  \n",
      "555  1.321314 -2.104020  \n",
      "987  0.384151 -1.337427  \n",
      "893  0.210046 -0.632809  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 49      8.274390\n",
      "682    11.702839\n",
      "280     5.994137\n",
      "220    10.878908\n",
      "862     1.585107\n",
      "         ...    \n",
      "269     0.249321\n",
      "194     7.805228\n",
      "555    -6.061451\n",
      "987    -4.527449\n",
      "893    10.444157\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 49      True\n",
      "682     True\n",
      "280     True\n",
      "220     True\n",
      "862     True\n",
      "       ...  \n",
      "269    False\n",
      "194     True\n",
      "555    False\n",
      "987    False\n",
      "893     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini   (Control):     0.7268\n",
      "INFO:causalml:    Gini (Treatment):     0.9948\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1012\n",
      "INFO:causalml:    RMSE (Treatment):     0.6904\n",
      "INFO:causalml:   sMAPE   (Control):     0.5517\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1317\n",
      "INFO:causalml:    Gini   (Control):     0.7215\n",
      "INFO:causalml:    Gini (Treatment):     0.9953\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0529\n",
      "INFO:causalml:    RMSE (Treatment):     0.6916\n",
      "INFO:causalml:   sMAPE   (Control):     0.5471\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "965 -0.258222  2.196243 -1.509052  0.242610 -0.852991 -0.125788  3.020499   \n",
      "18  -1.721390  0.991295 -1.008932  1.539819 -0.923055 -0.609885 -0.196033   \n",
      "816 -0.262987  0.921280 -0.389069 -0.883456 -2.158824 -1.767588 -0.312548   \n",
      "373 -0.576617  0.832892 -0.252974  2.508469 -0.393241  0.636110  0.102158   \n",
      "39  -0.961481  1.275170 -1.485334 -0.763943 -1.116911  0.131391  1.712740   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "127 -1.184442  1.633850 -0.489806  0.806896 -0.654125 -0.324203 -1.297638   \n",
      "798  0.298268  1.287738 -0.339625  0.484676 -1.361646 -0.844488  0.584065   \n",
      "240 -1.161647  1.005936  0.248576  1.135152 -0.087861 -0.969873 -0.362578   \n",
      "319 -0.246796  1.042340  0.473929 -1.882334 -1.252649 -0.129804 -2.165228   \n",
      "86  -1.171030  0.999708 -0.474575 -0.002353  1.214732 -0.432952 -1.419492   \n",
      "\n",
      "           X0        X1  \n",
      "965  3.020499 -0.125788  \n",
      "18  -0.196033 -0.609885  \n",
      "816 -0.312548 -1.767588  \n",
      "373  0.102158  0.636110  \n",
      "39   1.712740  0.131391  \n",
      "..        ...       ...  \n",
      "127 -1.297638 -0.324203  \n",
      "798  0.584065 -0.844488  \n",
      "240 -0.362578 -0.969873  \n",
      "319 -2.165228 -0.129804  \n",
      "86  -1.419492 -0.432952  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 965    19.735711\n",
      "18     -5.046192\n",
      "816    -0.020121\n",
      "373    12.268099\n",
      "39     -6.109185\n",
      "         ...    \n",
      "127     2.218793\n",
      "798    10.206839\n",
      "240     6.512254\n",
      "319    -2.951778\n",
      "86      4.893758\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 965     True\n",
      "18     False\n",
      "816     True\n",
      "373     True\n",
      "39     False\n",
      "       ...  \n",
      "127     True\n",
      "798     True\n",
      "240     True\n",
      "319     True\n",
      "86      True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "355 -0.326494  2.433717  0.080853  1.915810 -0.164674  0.466589 -0.152236   \n",
      "586 -1.822525  1.328268 -0.580694  0.434084 -1.937340  0.184012  3.008666   \n",
      "116 -1.086365 -0.990762  0.079434  1.325440  1.224208  0.738869  0.436850   \n",
      "631  0.271998  2.338601 -1.112341  1.567964 -0.208038 -0.964256  0.333245   \n",
      "94  -0.994409 -0.051791 -0.396042  0.809534  0.517539 -0.681357  0.730109   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "227 -0.757316  2.009235 -0.832385  1.297304 -0.017571 -1.484499  0.073045   \n",
      "643 -0.837543  2.690282 -0.956587  1.519004 -3.148478  1.188059  1.128666   \n",
      "834 -0.921188  0.601325 -1.805151  0.607381  0.656701  0.552350  0.119174   \n",
      "646 -0.626251  1.021268  0.186793  1.691995 -1.534219 -0.559809  0.720521   \n",
      "530 -1.096231 -0.378584 -1.082200  0.789542 -0.662083 -1.309586  1.838881   \n",
      "\n",
      "           X0        X1  \n",
      "355 -0.152236  0.466589  \n",
      "586  3.008666  0.184012  \n",
      "116  0.436850  0.738869  \n",
      "631  0.333245 -0.964256  \n",
      "94   0.730109 -0.681357  \n",
      "..        ...       ...  \n",
      "227  0.073045 -1.484499  \n",
      "643  1.128666  1.188059  \n",
      "834  0.119174  0.552350  \n",
      "646  0.720521 -0.559809  \n",
      "530  1.838881 -1.309586  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 355    13.712619\n",
      "586    -8.767996\n",
      "116    13.066025\n",
      "631    14.220450\n",
      "94     10.995359\n",
      "         ...    \n",
      "227     9.555874\n",
      "643     9.118838\n",
      "834    10.523346\n",
      "646     9.399353\n",
      "530    10.101463\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 355     True\n",
      "586    False\n",
      "116     True\n",
      "631     True\n",
      "94      True\n",
      "       ...  \n",
      "227     True\n",
      "643     True\n",
      "834     True\n",
      "646     True\n",
      "530     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE (Treatment):     0.1404\n",
      "INFO:causalml:    Gini   (Control):     0.7361\n",
      "INFO:causalml:    Gini (Treatment):     0.9952\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0703\n",
      "INFO:causalml:    RMSE (Treatment):     0.6898\n",
      "INFO:causalml:   sMAPE   (Control):     0.5459\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1425\n",
      "INFO:causalml:    Gini   (Control):     0.7482\n",
      "INFO:causalml:    Gini (Treatment):     0.9953\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1016\n",
      "INFO:causalml:    RMSE (Treatment):     0.7318\n",
      "INFO:causalml:   sMAPE   (Control):     0.5510\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1584\n",
      "INFO:causalml:    Gini   (Control):     0.7415\n",
      "INFO:causalml:    Gini (Treatment):     0.9951\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "705  0.261741  3.188563 -2.010226 -0.517940  1.029141  0.040541  0.750995   \n",
      "44   0.360294  0.124152 -2.197239 -1.328035 -0.866502 -0.042365  0.714713   \n",
      "738 -0.532602  1.680468 -1.570149  2.071328 -0.883423 -2.507779  0.510461   \n",
      "359 -1.250892  0.608337 -1.159236  1.196291 -2.448155 -1.418204  2.171817   \n",
      "531 -1.304303 -0.065667 -1.069981  0.533144  1.279208 -0.691485 -0.259040   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "275 -2.120068 -0.318202  0.171676  1.909965 -0.392065 -1.480635 -1.148364   \n",
      "128 -0.446814  1.132974 -0.280832 -0.265640  0.705652  0.138788  1.457893   \n",
      "633 -2.030034 -0.174624 -0.342485  0.323698 -1.221663  0.242803 -0.377460   \n",
      "502 -1.817353  2.122041 -2.913312  1.536276 -0.699921 -0.900995  1.371631   \n",
      "971 -1.011609  0.842579 -1.257641  1.094270  0.446977  1.836771  1.109406   \n",
      "\n",
      "           X0        X1  \n",
      "705  0.750995  0.040541  \n",
      "44   0.714713 -0.042365  \n",
      "738  0.510461 -2.507779  \n",
      "359  2.171817 -1.418204  \n",
      "531 -0.259040 -0.691485  \n",
      "..        ...       ...  \n",
      "275 -1.148364 -1.480635  \n",
      "128  1.457893  0.138788  \n",
      "633 -0.377460  0.242803  \n",
      "502  1.371631 -0.900995  \n",
      "971  1.109406  1.836771  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 705    18.039614\n",
      "44      8.606075\n",
      "738     8.470271\n",
      "359     7.556557\n",
      "531     7.735845\n",
      "         ...    \n",
      "275    -1.163599\n",
      "128    16.791480\n",
      "633    -0.246762\n",
      "502     9.319528\n",
      "971    16.046613\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 705    True\n",
      "44     True\n",
      "738    True\n",
      "359    True\n",
      "531    True\n",
      "       ... \n",
      "275    True\n",
      "128    True\n",
      "633    True\n",
      "502    True\n",
      "971    True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "75  -0.681840 -0.860902 -0.003540  0.004867 -0.711607  1.445133  2.210988   \n",
      "791 -0.302223 -0.035221 -0.779010 -1.067815 -1.088018  1.298864  1.837893   \n",
      "668 -0.124828  0.334842  0.337000 -0.098033 -0.948690 -0.993841  1.156376   \n",
      "861 -2.010612 -1.734882 -0.315201  0.998088  0.426792 -0.740070  0.178178   \n",
      "708 -0.500479  1.096561  0.068238 -0.285794 -0.225941 -1.796636  1.564528   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "491  0.047326  0.391397 -0.404472  0.060057  0.642744 -0.800913 -0.652640   \n",
      "8   -1.192098  0.543069  0.448059  1.496816  1.148883 -0.101334  0.352319   \n",
      "332 -1.250673  0.380127 -0.875099  1.332656  0.562342  0.345025  1.790799   \n",
      "202 -1.442253  1.720388  1.836666  1.221145 -0.572915 -1.254973 -1.342614   \n",
      "890 -1.222633  2.135828 -0.734609 -0.488569 -0.600416 -0.479990 -0.460961   \n",
      "\n",
      "           X0        X1  \n",
      "75   2.210988  1.445133  \n",
      "791  1.837893  1.298864  \n",
      "668  1.156376 -0.993841  \n",
      "861  0.178178 -0.740070  \n",
      "708  1.564528 -1.796636  \n",
      "..        ...       ...  \n",
      "491 -0.652640 -0.800913  \n",
      "8    0.352319 -0.101334  \n",
      "332  1.790799  0.345025  \n",
      "202 -1.342614 -1.254973  \n",
      "890 -0.460961 -0.479990  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 75     -4.842126\n",
      "791    12.700214\n",
      "668    10.579344\n",
      "861     4.083148\n",
      "708    12.369009\n",
      "         ...    \n",
      "491     8.770425\n",
      "8      13.374297\n",
      "332    16.296656\n",
      "202     2.297590\n",
      "890    -3.809211\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 75     False\n",
      "791     True\n",
      "668     True\n",
      "861     True\n",
      "708     True\n",
      "       ...  \n",
      "491     True\n",
      "8       True\n",
      "332     True\n",
      "202     True\n",
      "890    False\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9884\n",
      "INFO:causalml:    RMSE (Treatment):     0.6927\n",
      "INFO:causalml:   sMAPE   (Control):     0.5061\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1410\n",
      "INFO:causalml:    Gini   (Control):     0.7191\n",
      "INFO:causalml:    Gini (Treatment):     0.9945\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9921\n",
      "INFO:causalml:    RMSE (Treatment):     0.7493\n",
      "INFO:causalml:   sMAPE   (Control):     0.5346\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1501\n",
      "INFO:causalml:    Gini   (Control):     0.7535\n",
      "INFO:causalml:    Gini (Treatment):     0.9943\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0065\n",
      "INFO:causalml:    RMSE (Treatment):     0.6871\n",
      "INFO:causalml:   sMAPE   (Control):     0.5569\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1468\n",
      "INFO:causalml:    Gini   (Control):     0.7082\n",
      "INFO:causalml:    Gini (Treatment):     0.9952\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "84  -1.231904  0.946563 -0.520574 -1.241545 -1.073605  0.279123  0.201559   \n",
      "920 -2.817866  0.619407 -1.383961 -0.429572  0.136050 -0.313979  1.711518   \n",
      "406 -1.787177  0.601264 -0.241539 -0.288932  0.204519  1.070860  0.778961   \n",
      "841 -0.646074 -0.355693 -1.037555  1.155296 -0.106020 -1.428374  0.724408   \n",
      "700 -1.952536 -0.329336 -1.215430  0.057645 -0.943685 -0.856869  2.159186   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "88   0.116208  0.595981 -0.004589  2.371107  0.664072  1.005779  0.675959   \n",
      "703 -0.880997 -1.820627  0.171736 -0.167854  0.599802 -2.011412 -0.082251   \n",
      "787  0.106762  2.948496 -1.895033 -1.510659 -0.813685 -0.585402 -0.112157   \n",
      "565  0.489147  1.219821 -1.070019  0.305099  0.624808 -0.830622  1.045480   \n",
      "672 -1.285233  1.492835 -0.461824 -1.224488 -2.543523 -0.472754  1.225212   \n",
      "\n",
      "           X0        X1  \n",
      "84   0.201559  0.279123  \n",
      "920  1.711518 -0.313979  \n",
      "406  0.778961  1.070860  \n",
      "841  0.724408 -1.428374  \n",
      "700  2.159186 -0.856869  \n",
      "..        ...       ...  \n",
      "88   0.675959  1.005779  \n",
      "703 -0.082251 -2.011412  \n",
      "787 -0.112157 -0.585402  \n",
      "565  1.045480 -0.830622  \n",
      "672  1.225212 -0.472754  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 84     -7.210816\n",
      "920    -8.542729\n",
      "406     9.585905\n",
      "841     9.168319\n",
      "700    -9.193834\n",
      "         ...    \n",
      "88     19.338740\n",
      "703    -3.147667\n",
      "787     7.397373\n",
      "565    17.014565\n",
      "672     3.326896\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 84     False\n",
      "920    False\n",
      "406     True\n",
      "841     True\n",
      "700    False\n",
      "       ...  \n",
      "88      True\n",
      "703    False\n",
      "787     True\n",
      "565     True\n",
      "672     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "597 -0.321245  0.240069 -1.490242  2.231212 -0.904581  0.578349 -0.009237   \n",
      "904 -1.109443  3.107200 -0.951024 -0.079768  1.948789 -1.132518 -0.890302   \n",
      "290  0.299643 -1.028151  0.230684 -0.517070  0.924262 -1.450635  0.759954   \n",
      "909 -0.448326  1.299826  0.401639 -0.500486 -1.006631 -0.906303  1.442992   \n",
      "875 -2.411078  0.159398  0.119580  0.748787 -0.457547  0.313736 -0.560625   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "453 -1.249839 -0.644978 -0.359153  1.084902 -0.516596 -0.365041 -0.139304   \n",
      "430 -0.536437 -0.421504 -0.788914 -1.566788 -0.855747 -0.483673  0.158809   \n",
      "116 -1.086365 -0.990762  0.079434  1.325440  1.224208  0.738869  0.436850   \n",
      "634 -0.085908  0.582399 -1.871995 -0.128561  1.399274 -2.013647 -0.399001   \n",
      "734 -2.534543  1.297053 -0.227526 -0.605377 -1.703765 -0.280342  0.415044   \n",
      "\n",
      "           X0        X1  \n",
      "597 -0.009237  0.578349  \n",
      "904 -0.890302 -1.132518  \n",
      "290  0.759954 -1.450635  \n",
      "909  1.442992 -0.906303  \n",
      "875 -0.560625  0.313736  \n",
      "..        ...       ...  \n",
      "453 -0.139304 -0.365041  \n",
      "430  0.158809 -0.483673  \n",
      "116  0.436850  0.738869  \n",
      "634 -0.399001 -2.013647  \n",
      "734  0.415044 -0.280342  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 597    -1.143963\n",
      "904    10.065464\n",
      "290    12.664366\n",
      "909    11.235374\n",
      "875     1.205333\n",
      "         ...    \n",
      "453     4.442757\n",
      "430     3.344323\n",
      "116    13.066025\n",
      "634     8.990907\n",
      "734    -0.213830\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 597    False\n",
      "904     True\n",
      "290     True\n",
      "909     True\n",
      "875     True\n",
      "       ...  \n",
      "453     True\n",
      "430     True\n",
      "116     True\n",
      "634     True\n",
      "734     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "90   0.097345  0.533868 -1.112249  0.999274  0.230117 -1.125698  0.717416   \n",
      "686 -1.377233 -0.617476 -0.353271  2.000711 -1.831548  0.632213  0.262429   \n",
      "240 -1.161647  1.005936  0.248576  1.135152 -0.087861 -0.969873 -0.362578   \n",
      "511  0.263820  1.872437 -0.939853  1.755917 -1.252826  1.759191  0.714215   \n",
      "622 -0.848690 -0.845794  0.267025 -0.137135  0.356153 -0.001756  0.376872   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "671 -1.805567  1.966280  0.355705  0.675031 -1.531579 -0.217720 -0.701737   \n",
      "964  0.753382  0.592423 -0.618551  0.045706 -0.493502 -1.581298 -1.715736   \n",
      "299 -1.370319  0.104371 -0.773003  1.741095  0.119556 -1.227923 -0.272634   \n",
      "572 -2.548463 -0.098732 -0.957317  0.639523 -0.249403  1.104659 -0.047994   \n",
      "754 -1.008916  0.089333 -0.381037  1.182553  0.653293 -0.475920  0.036262   \n",
      "\n",
      "           X0        X1  \n",
      "90   0.717416 -1.125698  \n",
      "686  0.262429  0.632213  \n",
      "240 -0.362578 -0.969873  \n",
      "511  0.714215  1.759191  \n",
      "622  0.376872 -0.001756  \n",
      "..        ...       ...  \n",
      "671 -0.701737 -0.217720  \n",
      "964 -1.715736 -1.581298  \n",
      "299 -0.272634 -1.227923  \n",
      "572 -0.047994  1.104659  \n",
      "754  0.036262 -0.475920  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 90     13.341932\n",
      "686     4.432389\n",
      "240     6.512254\n",
      "511    15.928076\n",
      "622     8.845133\n",
      "         ...    \n",
      "671    -6.150284\n",
      "964     3.134159\n",
      "299     5.614664\n",
      "572    -8.024569\n",
      "754     9.673575\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 90      True\n",
      "686     True\n",
      "240     True\n",
      "511     True\n",
      "622     True\n",
      "       ...  \n",
      "671    False\n",
      "964     True\n",
      "299     True\n",
      "572    False\n",
      "754     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0987\n",
      "INFO:causalml:    RMSE (Treatment):     0.7208\n",
      "INFO:causalml:   sMAPE   (Control):     0.5237\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1429\n",
      "INFO:causalml:    Gini   (Control):     0.7470\n",
      "INFO:causalml:    Gini (Treatment):     0.9951\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0540\n",
      "INFO:causalml:    RMSE (Treatment):     0.7624\n",
      "INFO:causalml:   sMAPE   (Control):     0.5464\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1583\n",
      "INFO:causalml:    Gini   (Control):     0.7329\n",
      "INFO:causalml:    Gini (Treatment):     0.9945\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1489\n",
      "INFO:causalml:    RMSE (Treatment):     0.7569\n",
      "INFO:causalml:   sMAPE   (Control):     0.5456\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1493\n",
      "INFO:causalml:    Gini   (Control):     0.7273\n",
      "INFO:causalml:    Gini (Treatment):     0.9940\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "334 -0.156694  0.911286  0.765684  0.401905 -1.416657 -2.667282 -1.314160   \n",
      "262 -1.630045 -1.251623 -0.321312  1.248217  0.588834 -0.498320  0.369726   \n",
      "674 -1.388549  1.485270 -0.646514 -0.090141  1.767213  0.077538 -0.650185   \n",
      "955 -0.372062  0.536404 -1.497404  1.331291  1.949449 -0.806243  1.113560   \n",
      "832 -0.682884  1.926730 -0.161279 -0.512041 -0.170792 -1.586715  0.243828   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "28   0.355363 -1.712344 -0.541527 -1.500008 -0.178104 -0.523930 -0.313656   \n",
      "582 -1.856578  1.519025 -0.354817  1.777607 -0.103456 -0.540906  0.894554   \n",
      "294  0.718662  0.293405 -0.329930  0.322284 -0.725980 -1.672422  0.046675   \n",
      "846 -1.672185 -0.347375  0.787428  0.336686  0.622999  0.804101  1.251836   \n",
      "716 -1.737178  1.386498 -1.564507 -1.024549  1.582414 -0.183054  0.305977   \n",
      "\n",
      "           X0        X1  \n",
      "334 -1.314160 -2.667282  \n",
      "262  0.369726 -0.498320  \n",
      "674 -0.650185  0.077538  \n",
      "955  1.113560 -0.806243  \n",
      "832  0.243828 -1.586715  \n",
      "..        ...       ...  \n",
      "28  -0.313656 -0.523930  \n",
      "582  0.894554 -0.540906  \n",
      "294  0.046675 -1.672422  \n",
      "846  1.251836  0.804101  \n",
      "716  0.305977 -0.183054  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 334    -0.271330\n",
      "262     7.461448\n",
      "674     9.459822\n",
      "955    18.503792\n",
      "832     7.911675\n",
      "         ...    \n",
      "28      4.753158\n",
      "582    10.549091\n",
      "294     8.885443\n",
      "846    12.705539\n",
      "716     9.358799\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 334    True\n",
      "262    True\n",
      "674    True\n",
      "955    True\n",
      "832    True\n",
      "       ... \n",
      "28     True\n",
      "582    True\n",
      "294    True\n",
      "846    True\n",
      "716    True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "475 -1.371406 -1.789706 -1.298206 -1.611236 -0.709442 -0.195347  2.724470   \n",
      "588 -0.930255 -0.378142  0.632255  0.279449 -1.818598 -1.226886  0.208515   \n",
      "279 -2.042622 -0.483061 -0.027763  0.310754  0.006903  0.717223  1.415660   \n",
      "206  0.034341 -1.189055 -0.976649  0.149847  1.575362 -0.130203  2.269800   \n",
      "952 -0.623857  0.509187 -1.613917 -0.527539 -0.021147 -1.638291  1.771485   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "343 -1.245795  1.748387  0.828184 -1.775403 -0.972468 -0.866709  0.489782   \n",
      "843 -1.819689  2.321605  1.205835  1.378205 -0.687589 -1.421073 -0.008063   \n",
      "469 -1.955975  0.090817  0.294803 -2.001217 -0.945376 -1.628086  1.883115   \n",
      "369 -2.390398  0.327099 -0.741555 -1.805522 -0.865166 -1.456077 -2.343644   \n",
      "111  1.024268  0.556637 -0.514663  1.858435 -0.414872 -0.567619  0.793652   \n",
      "\n",
      "           X0        X1  \n",
      "475  2.724470 -0.195347  \n",
      "588  0.208515 -1.226886  \n",
      "279  1.415660  0.717223  \n",
      "206  2.269800 -0.130203  \n",
      "952  1.771485 -1.638291  \n",
      "..        ...       ...  \n",
      "343  0.489782 -0.866709  \n",
      "843 -0.008063 -1.421073  \n",
      "469  1.883115 -1.628086  \n",
      "369 -2.343644 -1.456077  \n",
      "111  0.793652 -0.567619  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 475   -10.586297\n",
      "588    -7.223205\n",
      "279    -6.155145\n",
      "206    20.680223\n",
      "952    -2.868485\n",
      "         ...    \n",
      "343     4.731928\n",
      "843     6.032900\n",
      "469     4.435916\n",
      "369   -11.558437\n",
      "111    16.735009\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 475    False\n",
      "588    False\n",
      "279    False\n",
      "206     True\n",
      "952    False\n",
      "       ...  \n",
      "343     True\n",
      "843     True\n",
      "469     True\n",
      "369    False\n",
      "111     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "899 -0.395984 -0.753509 -0.320954 -0.871588 -1.254406 -0.867205  0.087498   \n",
      "34   0.276106  2.330464  0.579228 -0.077358  0.414878  1.933343  1.404165   \n",
      "761 -1.783477 -0.235446 -0.829345 -1.351781  0.988020 -0.599609  1.020585   \n",
      "699 -1.175823  0.350680  0.033996  0.794509 -0.475092 -2.358432  0.259472   \n",
      "546 -2.888766  0.186649  0.030494  0.288355 -1.192114 -0.335307  1.980589   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "72  -2.020604 -1.051226 -0.996921 -0.824436 -1.488663 -0.206553  0.489298   \n",
      "30  -1.029675 -0.036475  0.168119  0.799758  0.713907 -1.117296  0.492739   \n",
      "576 -0.258472  1.109831  0.044998  0.470214  0.134336 -1.293955  1.695302   \n",
      "678  0.508374  0.644654 -0.261807  0.486776 -1.449243  0.145155  1.107169   \n",
      "669 -0.015285  1.132134 -0.997982  0.382392  0.634601 -2.152286 -0.881791   \n",
      "\n",
      "           X0        X1  \n",
      "899  0.087498 -0.867205  \n",
      "34   1.404165  1.933343  \n",
      "761  1.020585 -0.599609  \n",
      "699  0.259472 -2.358432  \n",
      "546  1.980589 -0.335307  \n",
      "..        ...       ...  \n",
      "72   0.489298 -0.206553  \n",
      "30   0.492739 -1.117296  \n",
      "576  1.695302 -1.293955  \n",
      "678  1.107169  0.145155  \n",
      "669 -0.881791 -2.152286  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 899     2.709571\n",
      "34     22.166660\n",
      "761     7.959767\n",
      "699     4.759513\n",
      "546   -11.053337\n",
      "         ...    \n",
      "72    -12.586391\n",
      "30     10.313749\n",
      "576    16.021321\n",
      "678    13.061989\n",
      "669     6.961904\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 899     True\n",
      "34      True\n",
      "761     True\n",
      "699     True\n",
      "546    False\n",
      "       ...  \n",
      "72     False\n",
      "30      True\n",
      "576     True\n",
      "678     True\n",
      "669     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0130\n",
      "INFO:causalml:    RMSE (Treatment):     0.7012\n",
      "INFO:causalml:   sMAPE   (Control):     0.5313\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1381\n",
      "INFO:causalml:    Gini   (Control):     0.7394\n",
      "INFO:causalml:    Gini (Treatment):     0.9951\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "946 -0.056748  1.082737  0.733627  1.643594 -0.787399 -1.668734  1.968422   \n",
      "838 -0.753922 -0.045816 -0.873461  1.047785 -0.824178 -1.028226 -0.543500   \n",
      "677 -0.926078  0.166307 -2.183101  1.988610 -0.286812 -1.952046  0.131363   \n",
      "805 -2.622025 -0.308385 -0.881486 -0.183280  0.289018 -2.986494  0.245462   \n",
      "75  -0.681840 -0.860902 -0.003540  0.004867 -0.711607  1.445133  2.210988   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "790 -0.783165  1.865815 -0.439194  0.520276 -0.904192  0.041655  1.027622   \n",
      "410 -0.703120  0.450567 -0.504908  0.896033 -1.220663 -3.269095 -1.609582   \n",
      "968 -0.626450  0.610291 -0.847638  0.077436  0.480144 -1.839511  0.703036   \n",
      "615 -1.312910  0.549883 -0.743413  1.273369 -2.435562 -1.071918  2.090585   \n",
      "864 -1.315606  1.131888 -1.274700 -1.261592 -1.388695 -0.667723  0.600493   \n",
      "\n",
      "           X0        X1  \n",
      "946  1.968422 -1.668734  \n",
      "838 -0.543500 -1.028226  \n",
      "677  0.131363 -1.952046  \n",
      "805  0.245462 -2.986494  \n",
      "75   2.210988  1.445133  \n",
      "..        ...       ...  \n",
      "790  1.027622  0.041655  \n",
      "410 -1.609582 -3.269095  \n",
      "968  0.703036 -1.839511  \n",
      "615  2.090585 -1.071918  \n",
      "864  0.600493 -0.667723  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 946    16.526801\n",
      "838     3.145267\n",
      "677     6.044637\n",
      "805    -0.721618\n",
      "75     -4.842126\n",
      "         ...    \n",
      "790    -2.228632\n",
      "410    -3.800252\n",
      "968    10.038489\n",
      "615    -8.516564\n",
      "864    -8.539115\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 946     True\n",
      "838     True\n",
      "677     True\n",
      "805     True\n",
      "75     False\n",
      "       ...  \n",
      "790    False\n",
      "410     True\n",
      "968     True\n",
      "615    False\n",
      "864    False\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "595 -1.371638 -0.038092  0.472554  0.208273  0.608900 -0.921483  0.132164   \n",
      "488 -1.198321  1.515799  0.559743 -0.112272 -1.395849  1.313824  1.637690   \n",
      "140 -0.284186 -0.187325 -1.110371  1.711081 -1.545623  0.250207 -0.110677   \n",
      "318 -0.503101 -0.600895 -0.267185  0.021973  1.464131 -0.551488 -0.234670   \n",
      "863  0.652126  1.026512  0.144431  0.576424  1.624713 -2.511548  1.059346   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "622 -0.848690 -0.845794  0.267025 -0.137135  0.356153 -0.001756  0.376872   \n",
      "601  0.106682 -0.437917 -2.078172  0.727072 -0.486981 -0.797348  0.454592   \n",
      "958 -0.495343  0.847053 -0.028871 -0.718100 -0.871586 -0.630299 -0.132512   \n",
      "519 -0.928551  1.643629 -0.012840 -0.089474 -1.289071 -0.902553  0.551816   \n",
      "393 -1.338523  0.522130  0.208298  1.121733 -0.869824 -0.203718 -0.158286   \n",
      "\n",
      "           X0        X1  \n",
      "595  0.132164 -0.921483  \n",
      "488  1.637690  1.313824  \n",
      "140 -0.110677  0.250207  \n",
      "318 -0.234670 -0.551488  \n",
      "863  1.059346 -2.511548  \n",
      "..        ...       ...  \n",
      "622  0.376872 -0.001756  \n",
      "601  0.454592 -0.797348  \n",
      "958 -0.132512 -0.630299  \n",
      "519  0.551816 -0.902553  \n",
      "393 -0.158286 -0.203718  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 595    -1.962053\n",
      "488    12.205540\n",
      "140    -3.623800\n",
      "318    10.068543\n",
      "863    18.929095\n",
      "         ...    \n",
      "622     8.845133\n",
      "601    -1.707354\n",
      "958     5.051010\n",
      "519     6.513308\n",
      "393    -4.149152\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 595    False\n",
      "488     True\n",
      "140    False\n",
      "318     True\n",
      "863     True\n",
      "       ...  \n",
      "622     True\n",
      "601    False\n",
      "958     True\n",
      "519     True\n",
      "393    False\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    RMSE   (Control):     2.9581\n",
      "INFO:causalml:    RMSE (Treatment):     0.7019\n",
      "INFO:causalml:   sMAPE   (Control):     0.5270\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1366\n",
      "INFO:causalml:    Gini   (Control):     0.7395\n",
      "INFO:causalml:    Gini (Treatment):     0.9947\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0089\n",
      "INFO:causalml:    RMSE (Treatment):     0.6914\n",
      "INFO:causalml:   sMAPE   (Control):     0.5590\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1410\n",
      "INFO:causalml:    Gini   (Control):     0.7382\n",
      "INFO:causalml:    Gini (Treatment):     0.9950\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0407\n",
      "INFO:causalml:    RMSE (Treatment):     0.6737\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "54   1.459268  1.943608  1.129690  0.548664 -1.340973 -0.812905 -0.963531   \n",
      "785 -1.472432 -1.585313  0.723227 -2.198742 -0.861557  0.282930 -0.095028   \n",
      "295 -0.983868  1.058323 -1.353941  0.550563 -1.213079  0.165130  1.300355   \n",
      "411 -0.546985  0.632225  0.177670  1.152931 -1.341671 -1.043610  0.915882   \n",
      "854 -2.564260 -0.151503 -0.722982 -0.358408  0.118593 -0.081853  0.348541   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "346 -1.786223  0.155241 -0.006492  1.116350  0.851448 -0.701068  0.717681   \n",
      "386  0.144990  2.200438  2.535124 -0.009489 -1.157723  1.477828 -0.341690   \n",
      "986 -0.416562  0.868225  0.665941  0.399819 -1.513787 -1.765043 -0.200477   \n",
      "428 -1.601123 -0.352920 -1.685513  2.750246 -2.723752  0.434913  0.292866   \n",
      "971 -1.011609  0.842579 -1.257641  1.094270  0.446977  1.836771  1.109406   \n",
      "\n",
      "           X0        X1  \n",
      "54  -0.963531 -0.812905  \n",
      "785 -0.095028  0.282930  \n",
      "295  1.300355  0.165130  \n",
      "411  0.915882 -1.043610  \n",
      "854  0.348541 -0.081853  \n",
      "..        ...       ...  \n",
      "346  0.717681 -0.701068  \n",
      "386 -0.341690  1.477828  \n",
      "986 -0.200477 -1.765043  \n",
      "428  0.292866  0.434913  \n",
      "971  1.109406  1.836771  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 54      9.737109\n",
      "785   -10.650231\n",
      "295     9.933260\n",
      "411     9.164325\n",
      "854    -8.250436\n",
      "         ...    \n",
      "346    10.270986\n",
      "386    11.776341\n",
      "986     3.757036\n",
      "428     1.776248\n",
      "971    16.046613\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 54      True\n",
      "785    False\n",
      "295     True\n",
      "411     True\n",
      "854    False\n",
      "       ...  \n",
      "346     True\n",
      "386     True\n",
      "986     True\n",
      "428     True\n",
      "971     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "905 -1.248790  0.836818  0.276427 -0.381741 -0.785530 -1.648800  0.638075   \n",
      "702  1.776446  1.312351  0.035714 -0.222481  1.693603  0.366529  0.704185   \n",
      "456 -1.180741  1.678642  0.789419  1.087730  0.037308  0.563234  0.500563   \n",
      "271 -1.683731 -0.490214  1.077274  1.927335 -0.447638  1.027982 -0.317068   \n",
      "191 -0.155299 -0.313327 -1.913569  0.091915 -1.423443  0.136986 -0.041962   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "862 -2.626160 -0.085283  0.861203  0.598807  0.007442 -1.089904 -0.141363   \n",
      "499 -1.577195 -0.178122  0.207028  1.204303 -0.666172  1.145283  0.458618   \n",
      "373 -0.576617  0.832892 -0.252974  2.508469 -0.393241  0.636110  0.102158   \n",
      "932 -1.213129  0.643221 -0.007752  0.320722 -1.204954  0.065085 -0.764774   \n",
      "657 -1.103857  0.975798  0.409175  0.707782  0.346495 -0.957502  0.942159   \n",
      "\n",
      "           X0        X1  \n",
      "905  0.638075 -1.648800  \n",
      "702  0.704185  0.366529  \n",
      "456  0.500563  0.563234  \n",
      "271 -0.317068  1.027982  \n",
      "191 -0.041962  0.136986  \n",
      "..        ...       ...  \n",
      "862 -0.141363 -1.089904  \n",
      "499  0.458618  1.145283  \n",
      "373  0.102158  0.636110  \n",
      "932 -0.764774  0.065085  \n",
      "657  0.942159 -0.957502  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 905    -5.143310\n",
      "702    23.877017\n",
      "456    12.752919\n",
      "271     6.385709\n",
      "191    -5.492128\n",
      "         ...    \n",
      "862     1.585107\n",
      "499     8.058945\n",
      "373    12.268099\n",
      "932     1.654133\n",
      "657    12.117853\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 905    False\n",
      "702     True\n",
      "456     True\n",
      "271     True\n",
      "191    False\n",
      "       ...  \n",
      "862     True\n",
      "499     True\n",
      "373     True\n",
      "932     True\n",
      "657     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE   (Control):     0.5509\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1466\n",
      "INFO:causalml:    Gini   (Control):     0.7399\n",
      "INFO:causalml:    Gini (Treatment):     0.9956\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9439\n",
      "INFO:causalml:    RMSE (Treatment):     0.7173\n",
      "INFO:causalml:   sMAPE   (Control):     0.5251\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1418\n",
      "INFO:causalml:    Gini   (Control):     0.7563\n",
      "INFO:causalml:    Gini (Treatment):     0.9950\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "464 -1.458938  1.066085 -0.038658 -0.458790  0.563506  0.649619  0.007999   \n",
      "142 -1.069820 -0.045581  1.088194 -0.352007 -0.407053  1.435721  1.821025   \n",
      "216 -1.185130  1.723057 -2.436984 -0.947938 -0.797647 -1.237892  0.020300   \n",
      "227 -0.757316  2.009235 -0.832385  1.297304 -0.017571 -1.484499  0.073045   \n",
      "979 -1.320009 -0.547319  0.058828  1.048133  1.078373 -0.857583  0.480911   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "172 -1.078399  1.722034 -1.675423 -0.026819 -0.577141 -1.633102  1.619526   \n",
      "964  0.753382  0.592423 -0.618551  0.045706 -0.493502 -1.581298 -1.715736   \n",
      "159 -1.948368 -0.614462  2.424841 -0.026382 -1.155858  0.788892  1.786834   \n",
      "171 -1.142720  1.363980 -1.309646 -0.806699 -1.397706  0.591713 -0.245067   \n",
      "499 -1.577195 -0.178122  0.207028  1.204303 -0.666172  1.145283  0.458618   \n",
      "\n",
      "           X0        X1  \n",
      "464  0.007999  0.649619  \n",
      "142  1.821025  1.435721  \n",
      "216  0.020300 -1.237892  \n",
      "227  0.073045 -1.484499  \n",
      "979  0.480911 -0.857583  \n",
      "..        ...       ...  \n",
      "172  1.619526 -1.633102  \n",
      "964 -1.715736 -1.581298  \n",
      "159  1.786834  0.788892  \n",
      "171 -0.245067  0.591713  \n",
      "499  0.458618  1.145283  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 464     8.601975\n",
      "142    14.255984\n",
      "216     2.376140\n",
      "227     9.555874\n",
      "979    10.393456\n",
      "         ...    \n",
      "172    10.160763\n",
      "964     3.134159\n",
      "159     9.334761\n",
      "171     2.573635\n",
      "499     8.058945\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 464    True\n",
      "142    True\n",
      "216    True\n",
      "227    True\n",
      "979    True\n",
      "       ... \n",
      "172    True\n",
      "964    True\n",
      "159    True\n",
      "171    True\n",
      "499    True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0551\n",
      "INFO:causalml:    RMSE (Treatment):     0.7052\n",
      "INFO:causalml:   sMAPE   (Control):     0.5513\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1489\n",
      "INFO:causalml:    Gini   (Control):     0.7201\n",
      "INFO:causalml:    Gini (Treatment):     0.9948\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9918\n",
      "INFO:causalml:    RMSE (Treatment):     0.7138\n",
      "INFO:causalml:   sMAPE   (Control):     0.5188\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1520\n",
      "INFO:causalml:    Gini   (Control):     0.7273\n",
      "INFO:causalml:    Gini (Treatment):     0.9944\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9832\n",
      "INFO:causalml:    RMSE (Treatment):     0.7111\n",
      "INFO:causalml:   sMAPE   (Control):     0.5083\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1456\n",
      "INFO:causalml:    Gini   (Control):     0.7489\n",
      "INFO:causalml:    Gini (Treatment):     0.9949\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0359\n",
      "INFO:causalml:    RMSE (Treatment):     0.6357\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "616 -1.830382  0.390144  1.344299  0.522921 -0.493492 -0.066279 -0.126978   \n",
      "441  0.096609  1.592914 -1.201277 -1.185385 -0.135004  0.210872  2.310466   \n",
      "743 -1.698782  0.965766  1.076097 -1.380195 -0.166558 -1.229501 -1.256471   \n",
      "565  0.489147  1.219821 -1.070019  0.305099  0.624808 -0.830622  1.045480   \n",
      "958 -0.495343  0.847053 -0.028871 -0.718100 -0.871586 -0.630299 -0.132512   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "364 -1.078590  1.563574  1.504080 -0.486241 -1.540033 -0.435152  0.956055   \n",
      "965 -0.258222  2.196243 -1.509052  0.242610 -0.852991 -0.125788  3.020499   \n",
      "755 -0.785170 -0.634127  0.249551 -0.613209  0.804813 -1.015528  1.452350   \n",
      "7    0.174130  1.506210 -1.549595  0.782615 -1.878625 -0.626575  1.176085   \n",
      "137 -1.894324  0.875532 -1.274949 -0.005126 -1.668351 -0.299636 -1.162263   \n",
      "\n",
      "           X0        X1  \n",
      "616 -0.126978 -0.066279  \n",
      "441  2.310466  0.210872  \n",
      "743 -1.256471 -1.229501  \n",
      "565  1.045480 -0.830622  \n",
      "958 -0.132512 -0.630299  \n",
      "..        ...       ...  \n",
      "364  0.956055 -0.435152  \n",
      "965  3.020499 -0.125788  \n",
      "755  1.452350 -1.015528  \n",
      "7    1.176085 -0.626575  \n",
      "137 -1.162263 -0.299636  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 616     4.604313\n",
      "441    18.248395\n",
      "743    -1.497744\n",
      "565    17.014565\n",
      "958     5.051010\n",
      "         ...    \n",
      "364     7.693260\n",
      "965    19.735711\n",
      "755    12.541520\n",
      "7      -2.646268\n",
      "137    -9.707122\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 616     True\n",
      "441     True\n",
      "743     True\n",
      "565     True\n",
      "958     True\n",
      "       ...  \n",
      "364     True\n",
      "965     True\n",
      "755     True\n",
      "7      False\n",
      "137    False\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "671 -1.805567  1.966280  0.355705  0.675031 -1.531579 -0.217720 -0.701737   \n",
      "16  -0.022696  0.467212  0.670827 -0.516231 -0.682599  1.362676  1.401631   \n",
      "353 -0.079900  1.001506 -0.228440 -0.144542 -1.332903  0.275099  2.373142   \n",
      "480 -0.377755  0.312070  0.399832  1.532559  0.348411  0.225440  0.753623   \n",
      "452 -1.226268  1.393577  0.501651  1.386900 -0.728663 -2.554742  0.738239   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "404  0.269959 -1.426995 -0.624877  1.207414 -0.632554  0.826927 -0.342909   \n",
      "339 -0.174635  1.102320 -0.538718  1.353400 -2.411045 -0.088519 -0.223676   \n",
      "538 -1.000985  2.417859  0.027563  1.436945  1.891137 -2.054885  0.763508   \n",
      "959 -1.282991  1.134722 -1.881201  0.830477  0.965414  1.414359 -1.140110   \n",
      "49  -0.982952  2.225363 -1.526931 -0.694241  0.029243 -0.455032  0.234971   \n",
      "\n",
      "           X0        X1  \n",
      "671 -0.701737 -0.217720  \n",
      "16   1.401631  1.362676  \n",
      "353  2.373142  0.275099  \n",
      "480  0.753623  0.225440  \n",
      "452  0.738239 -2.554742  \n",
      "..        ...       ...  \n",
      "404 -0.342909  0.826927  \n",
      "339 -0.223676 -0.088519  \n",
      "538  0.763508 -2.054885  \n",
      "959 -1.140110  1.414359  \n",
      "49   0.234971 -0.455032  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 671    -6.150284\n",
      "16     15.151640\n",
      "353    16.031327\n",
      "480    15.267030\n",
      "452     7.577603\n",
      "         ...    \n",
      "404    -1.323791\n",
      "339     4.815990\n",
      "538    16.761939\n",
      "959     7.562645\n",
      "49      8.274390\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 671    False\n",
      "16      True\n",
      "353     True\n",
      "480     True\n",
      "452     True\n",
      "       ...  \n",
      "404    False\n",
      "339     True\n",
      "538     True\n",
      "959     True\n",
      "49      True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "818 -2.294772  1.081263 -0.110948  0.240523 -2.452061 -0.676310  1.024324   \n",
      "441  0.096609  1.592914 -1.201277 -1.185385 -0.135004  0.210872  2.310466   \n",
      "660 -1.323851  1.441421  0.356298 -1.619747  1.211768 -0.134022  0.702311   \n",
      "907 -0.596246  0.342098  0.422666  1.205834 -0.189522 -0.157053  1.625369   \n",
      "150 -2.720297  0.875790 -0.364609 -0.201468  0.001957 -1.103898  0.006235   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "569 -2.828271  0.496613  0.605941  1.991670  1.438382 -1.427814  2.464037   \n",
      "174 -1.209450  2.573548 -1.875041  0.466606 -2.593907 -0.787080  0.157327   \n",
      "618 -0.852827  2.817516  0.994045  0.632066  1.475903 -1.788458 -0.354627   \n",
      "578 -0.125015 -0.484719 -0.554158 -0.644919 -0.352951 -0.169403  0.807828   \n",
      "851 -1.580498  2.916707 -1.305058  0.877563  0.733961 -1.876975  2.623342   \n",
      "\n",
      "           X0        X1  \n",
      "818  1.024324 -0.676310  \n",
      "441  2.310466  0.210872  \n",
      "660  0.702311 -0.134022  \n",
      "907  1.625369 -0.157053  \n",
      "150  0.006235 -1.103898  \n",
      "..        ...       ...  \n",
      "569  2.464037 -1.427814  \n",
      "174  0.157327 -0.787080  \n",
      "618 -0.354627 -1.788458  \n",
      "578  0.807828 -0.169403  \n",
      "851  2.623342 -1.876975  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 818   -11.770683\n",
      "441    18.248395\n",
      "660    11.491007\n",
      "907    15.569400\n",
      "150     1.212438\n",
      "         ...    \n",
      "569    16.043709\n",
      "174     1.619585\n",
      "618    12.340446\n",
      "578    -2.946371\n",
      "851    18.155148\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 818    False\n",
      "441     True\n",
      "660     True\n",
      "907     True\n",
      "150     True\n",
      "       ...  \n",
      "569     True\n",
      "174     True\n",
      "618     True\n",
      "578    False\n",
      "851     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "14  -2.078772  1.196831  1.691383 -0.112157 -0.733879 -1.146159  0.723966   \n",
      "287 -2.059567 -0.680278 -2.183921  1.320290 -1.748679  0.879174  0.780425   \n",
      "429 -0.310856  1.184695  0.500596  1.413069 -1.423834 -2.391290 -0.004592   \n",
      "806 -0.731126  0.113323  0.240405  0.593963 -1.053335 -1.951187  2.046437   \n",
      "89  -0.956579  0.802858 -0.416669  0.542902 -0.031293  1.430714  1.345825   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "546 -2.888766  0.186649  0.030494  0.288355 -1.192114 -0.335307  1.980589   \n",
      "279 -2.042622 -0.483061 -0.027763  0.310754  0.006903  0.717223  1.415660   \n",
      "732 -1.876595  1.781727 -0.587176  0.704493 -0.050272 -0.901322  2.047330   \n",
      "642 -1.263921  0.248475 -1.146400  0.651563 -0.523927  0.513736 -0.429372   \n",
      "614 -2.592181  1.103790 -0.570001  0.139735  0.205595 -0.448537 -0.211413   \n",
      "\n",
      "           X0        X1  \n",
      "14   0.723966 -1.146159  \n",
      "287  0.780425  0.879174  \n",
      "429 -0.004592 -2.391290  \n",
      "806  2.046437 -1.951187  \n",
      "89   1.345825  1.430714  \n",
      "..        ...       ...  \n",
      "546  1.980589 -0.335307  \n",
      "279  1.415660  0.717223  \n",
      "732  2.047330 -0.901322  \n",
      "642 -0.429372  0.513736  \n",
      "614 -0.211413 -0.448537  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 14      5.340331\n",
      "287   -11.017227\n",
      "429     5.762485\n",
      "806    11.154196\n",
      "89     15.058027\n",
      "         ...    \n",
      "546   -11.053337\n",
      "279    -6.155145\n",
      "732    -3.133831\n",
      "642     4.413860\n",
      "614    -5.992837\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 14      True\n",
      "287    False\n",
      "429     True\n",
      "806     True\n",
      "89      True\n",
      "       ...  \n",
      "546    False\n",
      "279    False\n",
      "732    False\n",
      "642     True\n",
      "614    False\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE   (Control):     0.5428\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1382\n",
      "INFO:causalml:    Gini   (Control):     0.7706\n",
      "INFO:causalml:    Gini (Treatment):     0.9965\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9307\n",
      "INFO:causalml:    RMSE (Treatment):     0.6748\n",
      "INFO:causalml:   sMAPE   (Control):     0.5415\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1462\n",
      "INFO:causalml:    Gini   (Control):     0.7507\n",
      "INFO:causalml:    Gini (Treatment):     0.9955\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0459\n",
      "INFO:causalml:    RMSE (Treatment):     0.6579\n",
      "INFO:causalml:   sMAPE   (Control):     0.5067\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1369\n",
      "INFO:causalml:    Gini   (Control):     0.7317\n",
      "INFO:causalml:    Gini (Treatment):     0.9958\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "445 -0.093150  0.159054  1.219054  2.768834 -0.538133 -0.508483  1.145099   \n",
      "1   -0.612423  0.591947 -1.160895  1.779737 -1.083905  0.802709  0.713931   \n",
      "259  0.990156  0.812084 -0.696832 -1.386308 -1.233495  1.282252  1.415275   \n",
      "150 -2.720297  0.875790 -0.364609 -0.201468  0.001957 -1.103898  0.006235   \n",
      "845 -1.215958 -0.485289 -1.167214  0.914403 -1.773236  0.103620 -0.518889   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "400 -0.340443 -1.712856  0.329522  1.261908 -0.358655  0.905733  1.694371   \n",
      "340  0.375616  2.217136 -0.666164 -0.970808  0.446217 -0.864206  1.763119   \n",
      "187  0.166212  1.756207  0.174379  0.739862 -0.309621  0.009743 -0.960418   \n",
      "53  -2.930083  0.879228 -0.579348  0.759465 -0.462352 -2.221874  2.337682   \n",
      "392  0.391364 -0.989100 -0.665144 -0.463719  1.025926  0.692766 -0.147856   \n",
      "\n",
      "           X0        X1  \n",
      "445  1.145099 -0.508483  \n",
      "1    0.713931  0.802709  \n",
      "259  1.415275  1.282252  \n",
      "150  0.006235 -1.103898  \n",
      "845 -0.518889  0.103620  \n",
      "..        ...       ...  \n",
      "400  1.694371  0.905733  \n",
      "340  1.763119 -0.864206  \n",
      "187 -0.960418  0.009743  \n",
      "53   2.337682 -2.221874  \n",
      "392 -0.147856  0.692766  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 445    16.120442\n",
      "1      11.125450\n",
      "259    15.171532\n",
      "150     1.212438\n",
      "845    -8.309502\n",
      "         ...    \n",
      "400    15.161858\n",
      "340    18.529106\n",
      "187     9.138120\n",
      "53      7.558222\n",
      "392    12.111471\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 445     True\n",
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      "259     True\n",
      "150     True\n",
      "845    False\n",
      "       ...  \n",
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      "340     True\n",
      "187     True\n",
      "53      True\n",
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      "Name: v0, Length: 800, dtype: bool}\n",
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      "877 -0.359565  0.826991 -0.179359 -1.811258  1.418593  1.405163 -0.075609   \n",
      "948  0.137207  0.807432  0.012233 -0.321381 -1.727172 -0.265376  1.037937   \n",
      "906 -1.727409  0.768134  0.127817  2.012317 -0.001440  0.690172  0.662514   \n",
      "531 -1.304303 -0.065667 -1.069981  0.533144  1.279208 -0.691485 -0.259040   \n",
      "447 -0.405581  0.228388 -0.346772 -0.788431 -0.808578 -1.461212 -0.094927   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "251 -2.083898 -0.553302  0.342455  1.195262 -0.140618 -0.475982  0.394482   \n",
      "329 -0.721478  0.206043  0.019891  0.334449 -2.015860  0.081232  2.050940   \n",
      "742 -1.894608  0.965814 -2.625684 -0.050702  0.089967 -0.260953  2.020572   \n",
      "291  0.257877 -0.247493 -0.219583  0.077716 -0.585046  0.209063  2.522633   \n",
      "984 -0.468952  1.419946 -1.223588 -0.200703  0.818225 -1.741452  0.553023   \n",
      "\n",
      "           X0        X1  \n",
      "877 -0.075609  1.405163  \n",
      "948  1.037937 -0.265376  \n",
      "906  0.662514  0.690172  \n",
      "531 -0.259040 -0.691485  \n",
      "447 -0.094927 -1.461212  \n",
      "..        ...       ...  \n",
      "251  0.394482 -0.475982  \n",
      "329  2.050940  0.081232  \n",
      "742  2.020572 -0.260953  \n",
      "291  2.522633  0.209063  \n",
      "984  0.553023 -1.741452  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 877    12.698322\n",
      "948     9.814477\n",
      "906    11.554534\n",
      "531     7.735845\n",
      "447     3.661764\n",
      "         ...    \n",
      "251     5.436045\n",
      "329    10.777317\n",
      "742    11.254116\n",
      "291    18.348778\n",
      "984    11.332827\n",
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      "948    True\n",
      "906    True\n",
      "531    True\n",
      "447    True\n",
      "       ... \n",
      "251    True\n",
      "329    True\n",
      "742    True\n",
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      "984    True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
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     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0274\n",
      "INFO:causalml:    RMSE (Treatment):     0.6404\n",
      "INFO:causalml:   sMAPE   (Control):     0.5697\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1380\n",
      "INFO:causalml:    Gini   (Control):     0.7555\n",
      "INFO:causalml:    Gini (Treatment):     0.9963\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1547\n",
      "INFO:causalml:    RMSE (Treatment):     0.7120\n",
      "INFO:causalml:   sMAPE   (Control):     0.5614\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1525\n",
      "INFO:causalml:    Gini   (Control):     0.7153\n",
      "INFO:causalml:    Gini (Treatment):     0.9952\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "333 -0.903943  1.303046 -0.373566  0.414038  0.837871 -0.085945  0.009761   \n",
      "600 -2.132836  0.973990 -0.800368  0.209837 -1.462109 -0.379117 -0.646683   \n",
      "296 -0.693534  1.091959  0.118506  1.534617 -1.801390  0.094255  1.938525   \n",
      "769 -1.913252  0.670484 -0.368978 -0.244239 -0.164518  0.285367  1.858510   \n",
      "877 -0.359565  0.826991 -0.179359 -1.811258  1.418593  1.405163 -0.075609   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "463 -1.384868  1.213614 -1.227984  0.542554  0.851906  1.016157  0.823336   \n",
      "129 -0.761571 -0.442922 -1.576714  1.024327 -0.544396 -1.884830  0.425136   \n",
      "309 -0.539594  2.000693  1.298256  0.596046 -2.741050 -0.539698  0.178355   \n",
      "734 -2.534543  1.297053 -0.227526 -0.605377 -1.703765 -0.280342  0.415044   \n",
      "657 -1.103857  0.975798  0.409175  0.707782  0.346495 -0.957502  0.942159   \n",
      "\n",
      "           X0        X1  \n",
      "333  0.009761 -0.085945  \n",
      "600 -0.646683 -0.379117  \n",
      "296  1.938525  0.094255  \n",
      "769  1.858510  0.285367  \n",
      "877 -0.075609  1.405163  \n",
      "..        ...       ...  \n",
      "463  0.823336  1.016157  \n",
      "129  0.425136 -1.884830  \n",
      "309  0.178355 -0.539698  \n",
      "734  0.415044 -0.280342  \n",
      "657  0.942159 -0.957502  \n",
      "\n",
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      "600    -2.038553\n",
      "296    13.572697\n",
      "769    -5.821681\n",
      "877    12.698322\n",
      "         ...    \n",
      "463    13.719677\n",
      "129     5.487315\n",
      "309     4.869483\n",
      "734    -0.213830\n",
      "657    12.117853\n",
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      "600     True\n",
      "296     True\n",
      "769    False\n",
      "877     True\n",
      "       ...  \n",
      "463     True\n",
      "129     True\n",
      "309     True\n",
      "734     True\n",
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      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "866 -2.492060  0.007731 -0.940262 -0.496057  1.104068  0.043952  0.520345   \n",
      "426 -0.479176  1.237188 -0.726685 -0.314696  0.767152 -0.740509 -0.373064   \n",
      "930  0.236247  0.615868 -0.483059 -0.462038  0.084682  1.027238 -0.515047   \n",
      "649 -2.154564  1.280369 -0.834181  1.662134 -0.490512  0.051132  1.668837   \n",
      "41   0.075080 -0.116355 -0.810933  2.222729 -0.150383  0.082462 -0.018712   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "401 -1.899841  1.517762 -1.564655  1.267017 -0.269945  0.348545  0.354959   \n",
      "90   0.097345  0.533868 -1.112249  0.999274  0.230117 -1.125698  0.717416   \n",
      "290  0.299643 -1.028151  0.230684 -0.517070  0.924262 -1.450635  0.759954   \n",
      "464 -1.458938  1.066085 -0.038658 -0.458790  0.563506  0.649619  0.007999   \n",
      "81  -2.075409 -0.271621 -0.306578  1.035155  0.414936 -0.005484  0.350309   \n",
      "\n",
      "           X0        X1  \n",
      "866  0.520345  0.043952  \n",
      "426 -0.373064 -0.740509  \n",
      "930 -0.515047  1.027238  \n",
      "649  1.668837  0.051132  \n",
      "41  -0.018712  0.082462  \n",
      "..        ...       ...  \n",
      "401  0.354959  0.348545  \n",
      "90   0.717416 -1.125698  \n",
      "290  0.759954 -1.450635  \n",
      "464  0.007999  0.649619  \n",
      "81   0.350309 -0.005484  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 866     6.414822\n",
      "426     8.947595\n",
      "930    10.114187\n",
      "649    11.515556\n",
      "41     12.011428\n",
      "         ...    \n",
      "401     7.798611\n",
      "90     13.341932\n",
      "290    12.664366\n",
      "464     8.601975\n",
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      "426    True\n",
      "930    True\n",
      "649    True\n",
      "41     True\n",
      "       ... \n",
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      "90     True\n",
      "290    True\n",
      "464    True\n",
      "81     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
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     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0349\n",
      "INFO:causalml:    RMSE (Treatment):     0.7215\n",
      "INFO:causalml:   sMAPE   (Control):     0.5344\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1396\n",
      "INFO:causalml:    Gini   (Control):     0.7418\n",
      "INFO:causalml:    Gini (Treatment):     0.9949\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0516\n",
      "INFO:causalml:    RMSE (Treatment):     0.7011\n",
      "INFO:causalml:   sMAPE   (Control):     0.5438\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1449\n",
      "INFO:causalml:    Gini   (Control):     0.6956\n",
      "INFO:causalml:    Gini (Treatment):     0.9943\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
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      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "311 -0.455229 -0.695322  0.209254 -0.763416 -1.934863 -0.037463  1.273690   \n",
      "120  0.925627  1.150181 -0.372738  1.184429 -1.147969 -0.032255  0.385113   \n",
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      "322  0.441476 -0.310950 -0.945903 -1.463723 -2.023630 -0.785600  1.276769   \n",
      "86  -1.171030  0.999708 -0.474575 -0.002353  1.214732 -0.432952 -1.419492   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "848 -1.892578  1.453947 -2.287147  0.205164 -0.295408 -1.312249  0.506585   \n",
      "980 -1.323765  1.378697 -1.383845 -0.811301 -1.301810  0.635665  1.740498   \n",
      "569 -2.828271  0.496613  0.605941  1.991670  1.438382 -1.427814  2.464037   \n",
      "127 -1.184442  1.633850 -0.489806  0.806896 -0.654125 -0.324203 -1.297638   \n",
      "502 -1.817353  2.122041 -2.913312  1.536276 -0.699921 -0.900995  1.371631   \n",
      "\n",
      "           X0        X1  \n",
      "311  1.273690 -0.037463  \n",
      "120  0.385113 -0.032255  \n",
      "429 -0.004592 -2.391290  \n",
      "322  1.276769 -0.785600  \n",
      "86  -1.419492 -0.432952  \n",
      "..        ...       ...  \n",
      "848  0.506585 -1.312249  \n",
      "980  1.740498  0.635665  \n",
      "569  2.464037 -1.427814  \n",
      "127 -1.297638 -0.324203  \n",
      "502  1.371631 -0.900995  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 311     6.548500\n",
      "120    13.587443\n",
      "429     5.762485\n",
      "322     7.004125\n",
      "86      4.893758\n",
      "         ...    \n",
      "848    -5.747920\n",
      "980     9.526360\n",
      "569    16.043709\n",
      "127     2.218793\n",
      "502     9.319528\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 311     True\n",
      "120     True\n",
      "429     True\n",
      "322     True\n",
      "86      True\n",
      "       ...  \n",
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      "569     True\n",
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      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "572 -2.548463 -0.098732 -0.957317  0.639523 -0.249403  1.104659 -0.047994   \n",
      "221 -1.138293  0.865923 -1.177382 -0.509397 -2.476264  1.589415  0.625094   \n",
      "352 -0.314322 -0.439802  2.366604  0.701073 -0.609823  0.603549 -0.256803   \n",
      "850 -1.559250  1.506724  0.449602  0.956745 -1.983230 -0.410145  2.749812   \n",
      "582 -1.856578  1.519025 -0.354817  1.777607 -0.103456 -0.540906  0.894554   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "980 -1.323765  1.378697 -1.383845 -0.811301 -1.301810  0.635665  1.740498   \n",
      "811 -1.803447  0.510549 -1.668762  1.850597 -0.358186 -2.226574  2.080508   \n",
      "789 -1.419550 -0.199775  1.439845 -0.043468 -0.070078  0.347234  1.237806   \n",
      "883 -1.053935 -0.020818 -0.218070 -0.163484 -1.436398  0.888213  0.560956   \n",
      "164 -1.968714  0.633982 -0.864566  0.029554 -0.968736 -1.092772  0.316363   \n",
      "\n",
      "           X0        X1  \n",
      "572 -0.047994  1.104659  \n",
      "221  0.625094  1.589415  \n",
      "352 -0.256803  0.603549  \n",
      "850  2.749812 -0.410145  \n",
      "582  0.894554 -0.540906  \n",
      "..        ...       ...  \n",
      "980  1.740498  0.635665  \n",
      "811  2.080508 -2.226574  \n",
      "789  1.237806  0.347234  \n",
      "883  0.560956  0.888213  \n",
      "164  0.316363 -1.092772  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 572    -8.024569\n",
      "221   -10.175373\n",
      "352     8.970110\n",
      "850    12.795708\n",
      "582    10.549091\n",
      "         ...    \n",
      "980     9.526360\n",
      "811    10.541175\n",
      "789    11.103887\n",
      "883     5.901248\n",
      "164     1.757613\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 572    False\n",
      "221    False\n",
      "352     True\n",
      "850     True\n",
      "582     True\n",
      "       ...  \n",
      "980     True\n",
      "811     True\n",
      "789     True\n",
      "883     True\n",
      "164     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0202\n",
      "INFO:causalml:    RMSE (Treatment):     0.6791\n",
      "INFO:causalml:   sMAPE   (Control):     0.5553\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1368\n",
      "INFO:causalml:    Gini   (Control):     0.7275\n",
      "INFO:causalml:    Gini (Treatment):     0.9955\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0764\n",
      "INFO:causalml:    RMSE (Treatment):     0.7291\n",
      "INFO:causalml:   sMAPE   (Control):     0.5471\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1549\n",
      "INFO:causalml:    Gini   (Control):     0.7327\n",
      "INFO:causalml:    Gini (Treatment):     0.9950\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "720 -0.178107  0.545358 -1.188979 -2.009287 -1.712708  0.183073  2.293672   \n",
      "794 -1.233396 -0.435764 -0.476026  0.431914  0.233094 -1.611720  0.182139   \n",
      "964  0.753382  0.592423 -0.618551  0.045706 -0.493502 -1.581298 -1.715736   \n",
      "738 -0.532602  1.680468 -1.570149  2.071328 -0.883423 -2.507779  0.510461   \n",
      "813 -2.510734  1.799308 -1.388065  0.395407  0.345451 -1.133800  0.417955   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "386  0.144990  2.200438  2.535124 -0.009489 -1.157723  1.477828 -0.341690   \n",
      "975 -0.891387  0.694594  0.240509  1.789194 -0.619145 -1.193071  0.675476   \n",
      "731 -0.792085  2.126007 -1.140046  0.187479 -0.140220 -0.338651  1.396477   \n",
      "807  0.395378  2.501552  0.964778  0.986126 -0.742713 -1.556838 -0.017120   \n",
      "419 -0.220525 -0.582744  0.201690  0.269966 -0.821470  1.089105  1.028671   \n",
      "\n",
      "           X0        X1  \n",
      "720  2.293672  0.183073  \n",
      "794  0.182139 -1.611720  \n",
      "964 -1.715736 -1.581298  \n",
      "738  0.510461 -2.507779  \n",
      "813  0.417955 -1.133800  \n",
      "..        ...       ...  \n",
      "386 -0.341690  1.477828  \n",
      "975  0.675476 -1.193071  \n",
      "731  1.396477 -0.338651  \n",
      "807 -0.017120 -1.556838  \n",
      "419  1.028671  1.089105  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 720    11.018665\n",
      "794     5.470791\n",
      "964     3.134159\n",
      "738     8.470271\n",
      "813     5.390940\n",
      "         ...    \n",
      "386    11.776341\n",
      "975     9.860888\n",
      "731    13.912472\n",
      "807    11.784838\n",
      "419    12.060932\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 720    True\n",
      "794    True\n",
      "964    True\n",
      "738    True\n",
      "813    True\n",
      "       ... \n",
      "386    True\n",
      "975    True\n",
      "731    True\n",
      "807    True\n",
      "419    True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "395 -1.795386  0.484380 -0.308798  0.356361  0.933391 -1.198681  0.592933   \n",
      "991 -0.283700  0.699498  0.106398 -1.059915 -2.411506 -0.204126  1.891908   \n",
      "336 -3.093855  1.469971  0.367279  1.174817 -0.729766 -2.114001  0.885400   \n",
      "344 -2.504980  1.383036 -0.141410 -0.360349 -1.132968 -0.013613  1.887884   \n",
      "773 -1.096836 -0.432951 -0.837524 -0.231672 -0.535628 -1.020083 -0.353180   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "979 -1.320009 -0.547319  0.058828  1.048133  1.078373 -0.857583  0.480911   \n",
      "131 -0.636926  1.412123 -1.568989  1.128580 -1.107298 -0.356463  3.129605   \n",
      "409 -0.542454  0.428394  1.357376  0.037163 -0.476170  1.308313  2.058995   \n",
      "807  0.395378  2.501552  0.964778  0.986126 -0.742713 -1.556838 -0.017120   \n",
      "594 -0.485088  0.198923  0.215890  1.387663  0.491391 -1.501354 -0.527038   \n",
      "\n",
      "           X0        X1  \n",
      "395  0.592933 -1.198681  \n",
      "991  1.891908 -0.204126  \n",
      "336  0.885400 -2.114001  \n",
      "344  1.887884 -0.013613  \n",
      "773 -0.353180 -1.020083  \n",
      "..        ...       ...  \n",
      "979  0.480911 -0.857583  \n",
      "131  3.129605 -0.356463  \n",
      "409  2.058995  1.308313  \n",
      "807 -0.017120 -1.556838  \n",
      "594 -0.527038 -1.501354  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 395     8.681410\n",
      "991    -7.648859\n",
      "336     2.926169\n",
      "344    -9.322258\n",
      "773     1.630931\n",
      "         ...    \n",
      "979    10.393456\n",
      "131    18.255680\n",
      "409    17.513846\n",
      "807    11.784838\n",
      "594     8.167200\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 395     True\n",
      "991    False\n",
      "336     True\n",
      "344    False\n",
      "773     True\n",
      "       ...  \n",
      "979     True\n",
      "131     True\n",
      "409     True\n",
      "807     True\n",
      "594     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0838\n",
      "INFO:causalml:    RMSE (Treatment):     0.7578\n",
      "INFO:causalml:   sMAPE   (Control):     0.5357\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1493\n",
      "INFO:causalml:    Gini   (Control):     0.7243\n",
      "INFO:causalml:    Gini (Treatment):     0.9939\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0498\n",
      "INFO:causalml:    RMSE (Treatment):     0.7149\n",
      "INFO:causalml:   sMAPE   (Control):     0.5699\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1427\n",
      "INFO:causalml:    Gini   (Control):     0.7412\n",
      "INFO:causalml:    Gini (Treatment):     0.9951\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0743\n",
      "INFO:causalml:    RMSE (Treatment):     0.7071\n",
      "INFO:causalml:   sMAPE   (Control):     0.5430\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1417\n",
      "INFO:causalml:    Gini   (Control):     0.7392\n",
      "INFO:causalml:    Gini (Treatment):     0.9952\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "893 -1.491824  0.452183 -1.205184  0.340149  1.739224 -0.632809  0.210046   \n",
      "456 -1.180741  1.678642  0.789419  1.087730  0.037308  0.563234  0.500563   \n",
      "368 -2.298170  1.146523 -1.218792 -0.454870 -0.475421 -1.530454  0.327366   \n",
      "558 -0.550544  0.440434 -0.750181  1.612420  0.551244  0.168593  1.698572   \n",
      "287 -2.059567 -0.680278 -2.183921  1.320290 -1.748679  0.879174  0.780425   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "935 -1.612218  0.425603  0.450798  1.795192 -1.030650  0.071948  0.533019   \n",
      "148 -0.302752 -0.391139 -1.411531 -0.984236 -1.414685 -1.430286  1.022603   \n",
      "628 -0.907745  0.221924 -0.912103  0.680653 -0.919082  0.488610 -0.844236   \n",
      "356 -1.087973  1.063452 -0.582690 -0.391019 -0.717769  0.567377  0.968256   \n",
      "39  -0.961481  1.275170 -1.485334 -0.763943 -1.116911  0.131391  1.712740   \n",
      "\n",
      "           X0        X1  \n",
      "893  0.210046 -0.632809  \n",
      "456  0.500563  0.563234  \n",
      "368  0.327366 -1.530454  \n",
      "558  1.698572  0.168593  \n",
      "287  0.780425  0.879174  \n",
      "..        ...       ...  \n",
      "935  0.533019  0.071948  \n",
      "148  1.022603 -1.430286  \n",
      "628 -0.844236  0.488610  \n",
      "356  0.968256  0.567377  \n",
      "39   1.712740  0.131391  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 893    10.444157\n",
      "456    12.752919\n",
      "368     1.367327\n",
      "558    18.249687\n",
      "287   -11.017227\n",
      "         ...    \n",
      "935     7.518694\n",
      "148     4.946877\n",
      "628    -4.505402\n",
      "356    -4.713297\n",
      "39     -6.109185\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 893     True\n",
      "456     True\n",
      "368     True\n",
      "558     True\n",
      "287    False\n",
      "       ...  \n",
      "935     True\n",
      "148     True\n",
      "628    False\n",
      "356    False\n",
      "39     False\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "900 -1.528877  0.854363 -0.020892 -0.125090  1.283825  0.408115 -0.168281   \n",
      "363 -1.299538  1.492361 -0.176621 -0.788150 -0.271734 -2.617038  1.663896   \n",
      "692 -1.425142 -0.090768 -2.394217  0.281658 -1.069567 -1.236345 -1.514344   \n",
      "226 -1.070717  0.609382 -3.049646  1.477891 -0.338049  0.433746  0.098532   \n",
      "856 -2.193329  0.959709 -2.021881 -0.809934 -2.201305 -2.098867 -0.278113   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "98  -0.724707 -0.167508 -2.200046  1.316365 -0.652669  1.877820  0.372580   \n",
      "531 -1.304303 -0.065667 -1.069981  0.533144  1.279208 -0.691485 -0.259040   \n",
      "607 -0.713550 -0.806284 -0.339457 -0.279553 -0.477920 -0.690686 -0.221325   \n",
      "522  0.488747  0.260763 -0.084712  2.012467  0.136177 -0.514404  1.454348   \n",
      "813 -2.510734  1.799308 -1.388065  0.395407  0.345451 -1.133800  0.417955   \n",
      "\n",
      "           X0        X1  \n",
      "900 -0.168281  0.408115  \n",
      "363  1.663896 -2.617038  \n",
      "692 -1.514344 -1.236345  \n",
      "226  0.098532  0.433746  \n",
      "856 -0.278113 -2.098867  \n",
      "..        ...       ...  \n",
      "98   0.372580  1.877820  \n",
      "531 -0.259040 -0.691485  \n",
      "607 -0.221325 -0.690686  \n",
      "522  1.454348 -0.514404  \n",
      "813  0.417955 -1.133800  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 900     9.560536\n",
      "363     8.937908\n",
      "692    -8.079772\n",
      "226    -3.230951\n",
      "856   -13.300039\n",
      "         ...    \n",
      "98     -3.658929\n",
      "531     7.735845\n",
      "607     3.571733\n",
      "522    19.196033\n",
      "813     5.390940\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 900     True\n",
      "363     True\n",
      "692    False\n",
      "226    False\n",
      "856    False\n",
      "       ...  \n",
      "98     False\n",
      "531     True\n",
      "607     True\n",
      "522     True\n",
      "813     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "695 -0.197821 -0.512162  0.067361  0.935517 -0.381064 -1.154606  0.317349   \n",
      "486 -0.131758 -0.288235 -0.600001  0.396915  0.962738 -1.026124  0.537855   \n",
      "43  -0.954425  1.158370  0.086873  0.568439 -0.884157 -0.410623  1.426287   \n",
      "418 -1.575082 -0.671851 -0.031660 -0.315301  0.096593  0.101204 -0.833223   \n",
      "122 -2.951921 -0.276981 -1.228503  0.841593  0.132569 -1.710101  0.432787   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "142 -1.069820 -0.045581  1.088194 -0.352007 -0.407053  1.435721  1.821025   \n",
      "667 -2.198198  0.869380  0.049001  1.338380 -0.046996  0.313350  1.524353   \n",
      "560 -0.591932  0.047587 -1.357618 -1.008455 -1.341175  0.311592  1.261070   \n",
      "355 -0.326494  2.433717  0.080853  1.915810 -0.164674  0.466589 -0.152236   \n",
      "738 -0.532602  1.680468 -1.570149  2.071328 -0.883423 -2.507779  0.510461   \n",
      "\n",
      "           X0        X1  \n",
      "695  0.317349 -1.154606  \n",
      "486  0.537855 -1.026124  \n",
      "43   1.426287 -0.410623  \n",
      "418 -0.833223  0.101204  \n",
      "122  0.432787 -1.710101  \n",
      "..        ...       ...  \n",
      "142  1.821025  1.435721  \n",
      "667  1.524353  0.313350  \n",
      "560  1.261070  0.311592  \n",
      "355 -0.152236  0.466589  \n",
      "738  0.510461 -2.507779  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 695     8.766754\n",
      "486    12.711964\n",
      "43     11.590880\n",
      "418    -5.534462\n",
      "122    -8.281570\n",
      "         ...    \n",
      "142    14.255984\n",
      "667    11.985876\n",
      "560    -7.215301\n",
      "355    13.712619\n",
      "738     8.470271\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 695     True\n",
      "486     True\n",
      "43      True\n",
      "418    False\n",
      "122    False\n",
      "       ...  \n",
      "142     True\n",
      "667     True\n",
      "560    False\n",
      "355     True\n",
      "738     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0525\n",
      "INFO:causalml:    RMSE (Treatment):     0.7187\n",
      "INFO:causalml:   sMAPE   (Control):     0.5312\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1296\n",
      "INFO:causalml:    Gini   (Control):     0.7540\n",
      "INFO:causalml:    Gini (Treatment):     0.9948\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1200\n",
      "INFO:causalml:    RMSE (Treatment):     0.7349\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "640 -1.678246  1.438381 -0.155114  1.449979 -1.577508 -0.659106  0.118324   \n",
      "827 -0.123357 -0.188634  0.382711 -0.500811  1.739447  0.613970  0.748232   \n",
      "673 -0.941288 -0.348886 -1.817197 -0.426040 -0.139103 -0.649783  0.857110   \n",
      "284 -0.929719  0.896653 -0.016749 -0.051014 -2.466214 -0.577574  0.515098   \n",
      "295 -0.983868  1.058323 -1.353941  0.550563 -1.213079  0.165130  1.300355   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "178 -1.287866  0.105602  0.132745 -0.181920 -0.151254 -1.038557  0.408551   \n",
      "723 -0.107996  1.393754  0.825508  0.735281 -0.586520 -0.348836  0.538970   \n",
      "394 -1.283395  1.760831 -0.728146  0.613214  0.534818  0.482541  0.497303   \n",
      "831 -1.230133 -0.572774 -0.868328  0.372532 -2.065409 -1.925431  1.802943   \n",
      "651 -0.647903 -0.439082 -1.170327 -0.407629  1.252680 -0.108644  0.227973   \n",
      "\n",
      "           X0        X1  \n",
      "640  0.118324 -0.659106  \n",
      "827  0.748232  0.613970  \n",
      "673  0.857110 -0.649783  \n",
      "284  0.515098 -0.577574  \n",
      "295  1.300355  0.165130  \n",
      "..        ...       ...  \n",
      "178  0.408551 -1.038557  \n",
      "723  0.538970 -0.348836  \n",
      "394  0.497303  0.482541  \n",
      "831  1.802943 -1.925431  \n",
      "651  0.227973 -0.108644  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 640     3.839554\n",
      "827    17.063845\n",
      "673    -5.059295\n",
      "284     2.864562\n",
      "295     9.933260\n",
      "         ...    \n",
      "178     6.014561\n",
      "723    12.592456\n",
      "394    12.331256\n",
      "831     4.497600\n",
      "651    10.451031\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 640     True\n",
      "827     True\n",
      "673    False\n",
      "284     True\n",
      "295     True\n",
      "       ...  \n",
      "178     True\n",
      "723     True\n",
      "394     True\n",
      "831     True\n",
      "651     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "235 -0.263945  0.606153 -2.132472  0.508581 -0.376937  0.208302 -1.639252   \n",
      "293 -2.019915 -0.918739 -1.767926 -1.403425 -0.740373 -1.576824  0.279021   \n",
      "505 -2.479285  0.847818  0.513598 -0.218587  0.793758 -1.587561  1.340198   \n",
      "816 -0.262987  0.921280 -0.389069 -0.883456 -2.158824 -1.767588 -0.312548   \n",
      "877 -0.359565  0.826991 -0.179359 -1.811258  1.418593  1.405163 -0.075609   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "677 -0.926078  0.166307 -2.183101  1.988610 -0.286812 -1.952046  0.131363   \n",
      "925 -0.292250 -0.487899 -1.791678  1.743438 -1.451384 -1.451548 -0.034151   \n",
      "455 -0.472574  1.272672 -2.489234  0.483832  0.334740 -0.703027  1.687994   \n",
      "457 -1.376599  1.461089 -0.718660  1.781923 -2.802867 -1.477809  0.128276   \n",
      "665 -2.174730  0.248624 -0.092817 -0.715735  0.210519 -0.742166 -0.077510   \n",
      "\n",
      "           X0        X1  \n",
      "235 -1.639252  0.208302  \n",
      "293  0.279021 -1.576824  \n",
      "505  1.340198 -1.587561  \n",
      "816 -0.312548 -1.767588  \n",
      "877 -0.075609  1.405163  \n",
      "..        ...       ...  \n",
      "677  0.131363 -1.952046  \n",
      "925 -0.034151 -1.451548  \n",
      "455  1.687994 -0.703027  \n",
      "457  0.128276 -1.477809  \n",
      "665 -0.077510 -0.742166  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 235     2.634861\n",
      "293   -11.609205\n",
      "505     8.711479\n",
      "816    -0.020121\n",
      "877    12.698322\n",
      "         ...    \n",
      "677     6.044637\n",
      "925     4.053751\n",
      "455    15.390761\n",
      "457    -8.028104\n",
      "665     2.331887\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 235     True\n",
      "293    False\n",
      "505     True\n",
      "816     True\n",
      "877     True\n",
      "       ...  \n",
      "677     True\n",
      "925     True\n",
      "455     True\n",
      "457    False\n",
      "665     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:   sMAPE   (Control):     0.5751\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1464\n",
      "INFO:causalml:    Gini   (Control):     0.7218\n",
      "INFO:causalml:    Gini (Treatment):     0.9944\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0223\n",
      "INFO:causalml:    RMSE (Treatment):     0.7354\n",
      "INFO:causalml:   sMAPE   (Control):     0.5407\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1396\n",
      "INFO:causalml:    Gini   (Control):     0.7417\n",
      "INFO:causalml:    Gini (Treatment):     0.9942\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0009\n",
      "INFO:causalml:    RMSE (Treatment):     0.7661\n",
      "INFO:causalml:   sMAPE   (Control):     0.5483\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1548\n",
      "INFO:causalml:    Gini   (Control):     0.7414\n",
      "INFO:causalml:    Gini (Treatment):     0.9938\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "831 -1.230133 -0.572774 -0.868328  0.372532 -2.065409 -1.925431  1.802943   \n",
      "872 -0.675589  1.480966  0.633872 -1.812491  0.279114 -0.021202  0.937137   \n",
      "895 -0.459769 -0.017087 -0.860174  0.294297  0.061199  0.406711  0.845962   \n",
      "102 -0.418300 -0.557531 -1.665453  1.690287  0.196389 -1.122764  0.983299   \n",
      "686 -1.377233 -0.617476 -0.353271  2.000711 -1.831548  0.632213  0.262429   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "412 -1.218461  2.898433 -0.737451 -1.217685  0.214579 -1.178889  0.280958   \n",
      "908 -0.171439  0.987004  1.139063 -0.049279 -1.404765 -0.687979 -0.500347   \n",
      "340  0.375616  2.217136 -0.666164 -0.970808  0.446217 -0.864206  1.763119   \n",
      "117 -2.185549  0.899307 -1.971894 -1.174155 -1.218568 -0.519142  1.033019   \n",
      "772 -1.631390  0.465915 -1.149010  1.590925 -0.376748 -1.413846 -0.295266   \n",
      "\n",
      "           X0        X1  \n",
      "831  1.802943 -1.925431  \n",
      "872  0.937137 -0.021202  \n",
      "895  0.845962  0.406711  \n",
      "102  0.983299 -1.122764  \n",
      "686  0.262429  0.632213  \n",
      "..        ...       ...  \n",
      "412  0.280958 -1.178889  \n",
      "908 -0.500347 -0.687979  \n",
      "340  1.763119 -0.864206  \n",
      "117  1.033019 -0.519142  \n",
      "772 -0.295266 -1.413846  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 831     4.497600\n",
      "872    11.901044\n",
      "895    12.243751\n",
      "102    12.024923\n",
      "686     4.432389\n",
      "         ...    \n",
      "412     7.872612\n",
      "908     4.820482\n",
      "340    18.529106\n",
      "117   -11.180244\n",
      "772     3.250030\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 831     True\n",
      "872     True\n",
      "895     True\n",
      "102     True\n",
      "686     True\n",
      "       ...  \n",
      "412     True\n",
      "908     True\n",
      "340     True\n",
      "117    False\n",
      "772     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "550 -0.456966 -0.476118  0.221099 -0.054011  0.708884 -1.962707  0.617111   \n",
      "776 -2.842646 -0.725526 -0.406744 -0.025141 -1.114379  0.538557  1.710464   \n",
      "208 -1.829170  0.787526 -0.881231  0.083780 -1.917817 -2.457417  0.754683   \n",
      "162 -1.388900  0.882150 -0.922345  0.504856  1.804151 -2.140192  2.410467   \n",
      "904 -1.109443  3.107200 -0.951024 -0.079768  1.948789 -1.132518 -0.890302   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "184 -1.891342  1.936913 -1.618877 -1.053819  0.021617 -0.044179 -0.895357   \n",
      "960  0.148135 -0.231778  0.068080 -1.110248 -3.242602 -0.436255  1.334302   \n",
      "281 -1.135111  0.940750 -0.067170 -0.759354  1.096828 -1.630748  0.625826   \n",
      "84  -1.231904  0.946563 -0.520574 -1.241545 -1.073605  0.279123  0.201559   \n",
      "608  0.655518  2.888275 -1.833586 -1.459779  0.528316  1.313325 -0.562842   \n",
      "\n",
      "           X0        X1  \n",
      "550  0.617111 -1.962707  \n",
      "776  1.710464  0.538557  \n",
      "208  0.754683 -2.457417  \n",
      "162  2.410467 -2.140192  \n",
      "904 -0.890302 -1.132518  \n",
      "..        ...       ...  \n",
      "184 -0.895357 -0.044179  \n",
      "960  1.334302 -0.436255  \n",
      "281  0.625826 -1.630748  \n",
      "84   0.201559  0.279123  \n",
      "608 -0.562842  1.313325  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 550     9.910321\n",
      "776   -12.340879\n",
      "208    -9.928296\n",
      "162    17.934588\n",
      "904    10.065464\n",
      "         ...    \n",
      "184     1.132702\n",
      "960     4.643805\n",
      "281     9.917053\n",
      "84     -7.210816\n",
      "608    13.248344\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 550     True\n",
      "776    False\n",
      "208    False\n",
      "162     True\n",
      "904     True\n",
      "       ...  \n",
      "184     True\n",
      "960     True\n",
      "281     True\n",
      "84     False\n",
      "608     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "981 -1.677948 -1.622248 -1.171652  0.349836 -2.213015  1.101661  0.722546   \n",
      "252 -0.407608 -0.441935 -1.985984  1.444090  0.083796 -0.670731  0.259822   \n",
      "433 -1.782608  1.831915 -0.845111  0.759755  0.586684 -1.953787  0.353037   \n",
      "190 -1.284989  0.161720 -0.195371  0.142880 -1.766458 -1.817200  1.122913   \n",
      "380 -1.222122 -0.625482 -0.290597  0.559950 -0.992344 -0.491524 -0.854497   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "383 -1.820459  0.011031 -1.003686 -0.301110  0.254573 -1.724935  0.863482   \n",
      "875 -2.411078  0.159398  0.119580  0.748787 -0.457547  0.313736 -0.560625   \n",
      "204 -1.495909  1.711115 -1.457953  0.493295  1.141122  0.318999  2.147456   \n",
      "635 -0.309105  1.995839 -1.442744  1.469303 -0.866598  1.284870  1.107725   \n",
      "18  -1.721390  0.991295 -1.008932  1.539819 -0.923055 -0.609885 -0.196033   \n",
      "\n",
      "           X0        X1  \n",
      "981  0.722546  1.101661  \n",
      "252  0.259822 -0.670731  \n",
      "433  0.353037 -1.953787  \n",
      "190  1.122913 -1.817200  \n",
      "380 -0.854497 -0.491524  \n",
      "..        ...       ...  \n",
      "383  0.863482 -1.724935  \n",
      "875 -0.560625  0.313736  \n",
      "204  2.147456  0.318999  \n",
      "635  1.107725  1.284870  \n",
      "18  -0.196033 -0.609885  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 981   -12.765797\n",
      "252    -0.786820\n",
      "433     7.710126\n",
      "190     3.713965\n",
      "380    -0.053237\n",
      "         ...    \n",
      "383     5.450868\n",
      "875     1.205333\n",
      "204    18.498160\n",
      "635    15.613398\n",
      "18     -5.046192\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 981    False\n",
      "252    False\n",
      "433     True\n",
      "190     True\n",
      "380     True\n",
      "       ...  \n",
      "383     True\n",
      "875     True\n",
      "204     True\n",
      "635     True\n",
      "18     False\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1101\n",
      "INFO:causalml:    RMSE (Treatment):     0.6556\n",
      "INFO:causalml:   sMAPE   (Control):     0.5635\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1410\n",
      "INFO:causalml:    Gini   (Control):     0.7584\n",
      "INFO:causalml:    Gini (Treatment):     0.9964\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0568\n",
      "INFO:causalml:    RMSE (Treatment):     0.7481\n",
      "INFO:causalml:   sMAPE   (Control):     0.5376\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1475\n",
      "INFO:causalml:    Gini   (Control):     0.7403\n",
      "INFO:causalml:    Gini (Treatment):     0.9942\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0602\n",
      "INFO:causalml:    RMSE (Treatment):     0.7217\n",
      "INFO:causalml:   sMAPE   (Control):     0.5135\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1480\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "455 -0.472574  1.272672 -2.489234  0.483832  0.334740 -0.703027  1.687994   \n",
      "576 -0.258472  1.109831  0.044998  0.470214  0.134336 -1.293955  1.695302   \n",
      "236 -0.724433  0.998208  0.238311 -1.291449 -1.941921  0.913822  0.345125   \n",
      "687  0.178787  0.595348 -1.587125  1.513139 -0.245915 -0.379845  2.377876   \n",
      "192 -0.062807  0.029133 -0.344053  0.098793 -0.395855 -0.545119  0.774679   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "65  -2.860295  0.491337  0.307032  0.402665  0.265118 -1.899636 -0.565288   \n",
      "983 -1.330248  1.247409 -0.571754 -0.359552  0.349860 -0.123228 -0.031874   \n",
      "47   0.154544  1.025493 -1.250332 -1.536762 -0.309219 -0.948781  1.324595   \n",
      "269  0.573973 -0.053532 -0.674589 -3.004365  1.021180 -0.146757  0.753673   \n",
      "422 -1.830252  0.894077 -0.267716 -0.367326  2.202751 -0.079619  0.119763   \n",
      "\n",
      "           X0        X1  \n",
      "455  1.687994 -0.703027  \n",
      "576  1.695302 -1.293955  \n",
      "236  0.345125  0.913822  \n",
      "687  2.377876 -0.379845  \n",
      "192  0.774679 -0.545119  \n",
      "..        ...       ...  \n",
      "65  -0.565288 -1.899636  \n",
      "983 -0.031874 -0.123228  \n",
      "47   1.324595 -0.948781  \n",
      "269  0.753673 -0.146757  \n",
      "422  0.119763 -0.079619  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 455    15.390761\n",
      "576    16.021321\n",
      "236     4.765758\n",
      "687    19.701253\n",
      "192    10.887872\n",
      "         ...    \n",
      "65     -0.860515\n",
      "983     7.361146\n",
      "47     11.849394\n",
      "269     0.249321\n",
      "422    11.141529\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 455     True\n",
      "576     True\n",
      "236     True\n",
      "687     True\n",
      "192     True\n",
      "       ...  \n",
      "65      True\n",
      "983     True\n",
      "47      True\n",
      "269    False\n",
      "422     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "143 -2.040739  1.654124  2.203868  1.326991 -0.370663 -1.606991 -0.643100   \n",
      "627 -1.523690 -0.192391  1.149614 -0.762336 -0.680800 -0.533576 -0.097514   \n",
      "890 -1.222633  2.135828 -0.734609 -0.488569 -0.600416 -0.479990 -0.460961   \n",
      "378 -1.938741  0.891352  0.002345  1.742060 -0.104084 -0.598398  0.006701   \n",
      "451 -0.565758  1.128663 -0.324990 -0.337899 -0.015063  0.346414  0.109342   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "513 -0.719556  1.594492 -0.676926  2.386985  3.196747 -0.287512  0.591108   \n",
      "111  1.024268  0.556637 -0.514663  1.858435 -0.414872 -0.567619  0.793652   \n",
      "460 -0.386371  1.170936  0.655040  0.226403 -0.871820 -0.967792  1.052236   \n",
      "238 -0.166010  0.774921 -0.462897 -0.294769 -1.389314 -0.210174  2.431329   \n",
      "206  0.034341 -1.189055 -0.976649  0.149847  1.575362 -0.130203  2.269800   \n",
      "\n",
      "           X0        X1  \n",
      "143 -0.643100 -1.606991  \n",
      "627 -0.097514 -0.533576  \n",
      "890 -0.460961 -0.479990  \n",
      "378  0.006701 -0.598398  \n",
      "451  0.109342  0.346414  \n",
      "..        ...       ...  \n",
      "513  0.591108 -0.287512  \n",
      "111  0.793652 -0.567619  \n",
      "460  1.052236 -0.967792  \n",
      "238  2.431329 -0.210174  \n",
      "206  2.269800 -0.130203  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 143     3.430961\n",
      "627     2.219546\n",
      "890    -3.809211\n",
      "378    -2.856631\n",
      "451     9.760052\n",
      "         ...    \n",
      "513    22.411994\n",
      "111    16.735009\n",
      "460    11.172108\n",
      "238    14.670040\n",
      "206    20.680223\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 143     True\n",
      "627     True\n",
      "890    False\n",
      "378    False\n",
      "451     True\n",
      "       ...  \n",
      "513     True\n",
      "111     True\n",
      "460     True\n",
      "238     True\n",
      "206     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini   (Control):     0.7365\n",
      "INFO:causalml:    Gini (Treatment):     0.9949\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0490\n",
      "INFO:causalml:    RMSE (Treatment):     0.6879\n",
      "INFO:causalml:   sMAPE   (Control):     0.5267\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1384\n",
      "INFO:causalml:    Gini   (Control):     0.7423\n",
      "INFO:causalml:    Gini (Treatment):     0.9953\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9082\n",
      "INFO:causalml:    RMSE (Treatment):     0.6356\n",
      "INFO:causalml:   sMAPE   (Control):     0.5205\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1334\n",
      "INFO:causalml:    Gini   (Control):     0.7233\n",
      "INFO:causalml:    Gini (Treatment):     0.9956\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "808 -0.291951  1.043771 -0.571882 -0.537580  0.895934 -1.203433  1.200730   \n",
      "359 -1.250892  0.608337 -1.159236  1.196291 -2.448155 -1.418204  2.171817   \n",
      "755 -0.785170 -0.634127  0.249551 -0.613209  0.804813 -1.015528  1.452350   \n",
      "656 -1.273620  1.797036  2.092367  0.953316  1.197489 -0.625639  0.731893   \n",
      "464 -1.458938  1.066085 -0.038658 -0.458790  0.563506  0.649619  0.007999   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "251 -2.083898 -0.553302  0.342455  1.195262 -0.140618 -0.475982  0.394482   \n",
      "8   -1.192098  0.543069  0.448059  1.496816  1.148883 -0.101334  0.352319   \n",
      "573  0.196341  0.991673 -0.825979  1.860407 -1.870355 -1.152153 -1.051394   \n",
      "726 -0.283535  0.621638 -0.999520  0.843142  1.790317 -0.030857  0.902776   \n",
      "192 -0.062807  0.029133 -0.344053  0.098793 -0.395855 -0.545119  0.774679   \n",
      "\n",
      "           X0        X1  \n",
      "808  1.200730 -1.203433  \n",
      "359  2.171817 -1.418204  \n",
      "755  1.452350 -1.015528  \n",
      "656  0.731893 -0.625639  \n",
      "464  0.007999  0.649619  \n",
      "..        ...       ...  \n",
      "251  0.394482 -0.475982  \n",
      "8    0.352319 -0.101334  \n",
      "573 -1.051394 -1.152153  \n",
      "726  0.902776 -0.030857  \n",
      "192  0.774679 -0.545119  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 808    14.588358\n",
      "359     7.556557\n",
      "755    12.541520\n",
      "656    15.632059\n",
      "464     8.601975\n",
      "         ...    \n",
      "251     5.436045\n",
      "8      13.374297\n",
      "573     3.364299\n",
      "726    18.301691\n",
      "192    10.887872\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 808    True\n",
      "359    True\n",
      "755    True\n",
      "656    True\n",
      "464    True\n",
      "       ... \n",
      "251    True\n",
      "8      True\n",
      "573    True\n",
      "726    True\n",
      "192    True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "121  1.534365  1.840154 -0.218035 -0.257249 -0.734629 -0.767329 -1.295119   \n",
      "589 -1.667998 -0.312881 -0.874289 -0.432761 -1.519063  0.481366 -0.232169   \n",
      "524  0.057014  0.649900 -0.364445 -0.578270  0.198899 -0.364881  2.339120   \n",
      "390 -2.802559  0.829055 -0.457778  0.755228  0.148033 -0.859578  0.281249   \n",
      "933 -0.934060  1.319778  0.959669 -0.733035 -1.291453 -0.773287  0.716901   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "415 -0.927855  0.937062  0.139474 -0.230930 -1.822390 -1.141240  3.168139   \n",
      "351 -0.741034  0.497864 -0.483110  1.193559 -0.155819 -1.606313  0.005075   \n",
      "967 -1.386450  1.648145 -0.953457  1.161783 -0.494481 -3.161705  1.259562   \n",
      "403 -1.630763  2.405041  0.712370  0.529186 -2.230960 -0.416914 -1.593093   \n",
      "966 -2.809966  2.310766  0.855738  2.265568 -1.872551 -0.553294  2.176341   \n",
      "\n",
      "           X0        X1  \n",
      "121 -1.295119 -0.767329  \n",
      "589 -0.232169  0.481366  \n",
      "524  2.339120 -0.364881  \n",
      "390  0.281249 -0.859578  \n",
      "933  0.716901 -0.773287  \n",
      "..        ...       ...  \n",
      "415  3.168139 -1.141240  \n",
      "351  0.005075 -1.606313  \n",
      "967  1.259562 -3.161705  \n",
      "403 -1.593093 -0.416914  \n",
      "966  2.176341 -0.553294  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 121     8.541463\n",
      "589   -10.258505\n",
      "524    18.575304\n",
      "390     3.725711\n",
      "933     6.639250\n",
      "         ...    \n",
      "415    -6.705046\n",
      "351     7.214058\n",
      "967    -2.657495\n",
      "403    -3.265557\n",
      "966     9.876889\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 121     True\n",
      "589    False\n",
      "524     True\n",
      "390     True\n",
      "933     True\n",
      "       ...  \n",
      "415    False\n",
      "351     True\n",
      "967    False\n",
      "403     True\n",
      "966     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "190 -1.284989  0.161720 -0.195371  0.142880 -1.766458 -1.817200  1.122913   \n",
      "314 -0.846455 -0.409130 -2.466592  0.522989 -0.052613 -2.655562  1.377086   \n",
      "42   0.672800  0.403843 -0.485776  1.240526  1.063470  0.870394  0.561993   \n",
      "242 -1.740568  1.485447 -2.312406  0.386711  1.155020 -1.148651 -1.499194   \n",
      "268 -0.008387 -0.345640  0.297517  0.932659 -0.233741 -0.957095 -1.559348   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "731 -0.792085  2.126007 -1.140046  0.187479 -0.140220 -0.338651  1.396477   \n",
      "689 -2.243570  1.275778 -1.424485 -2.440678 -1.906424 -2.373430 -0.198568   \n",
      "366 -1.403735  1.313386  1.988391 -0.578266  1.442075  1.501325  0.150474   \n",
      "179 -1.297348  2.058718 -1.459938  0.264849  0.264363 -1.481147  1.305092   \n",
      "237 -0.843070  3.028032 -0.964293  0.319940 -2.199262 -0.535469 -1.279896   \n",
      "\n",
      "           X0        X1  \n",
      "190  1.122913 -1.817200  \n",
      "314  1.377086 -2.655562  \n",
      "42   0.561993  0.870394  \n",
      "242 -1.499194 -1.148651  \n",
      "268 -1.559348 -0.957095  \n",
      "..        ...       ...  \n",
      "731  1.396477 -0.338651  \n",
      "689 -0.198568 -2.373430  \n",
      "366  0.150474  1.501325  \n",
      "179  1.305092 -1.481147  \n",
      "237 -1.279896 -0.535469  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 190     3.713965\n",
      "314    -3.811119\n",
      "42     19.574715\n",
      "242     1.894728\n",
      "268     3.465358\n",
      "         ...    \n",
      "731    13.912472\n",
      "689   -13.994008\n",
      "366    13.879918\n",
      "179    11.624002\n",
      "237    -0.336643\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 190     True\n",
      "314    False\n",
      "42      True\n",
      "242     True\n",
      "268     True\n",
      "       ...  \n",
      "731     True\n",
      "689    False\n",
      "366     True\n",
      "179     True\n",
      "237     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9942\n",
      "INFO:causalml:    RMSE (Treatment):     0.7756\n",
      "INFO:causalml:   sMAPE   (Control):     0.5198\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1502\n",
      "INFO:causalml:    Gini   (Control):     0.7338\n",
      "INFO:causalml:    Gini (Treatment):     0.9935\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9713\n",
      "INFO:causalml:    RMSE (Treatment):     0.6769\n",
      "INFO:causalml:   sMAPE   (Control):     0.5471\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1401\n",
      "INFO:causalml:    Gini   (Control):     0.7299\n",
      "INFO:causalml:    Gini (Treatment):     0.9951\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0612\n",
      "INFO:causalml:    RMSE (Treatment):     0.7682\n",
      "INFO:causalml:   sMAPE   (Control):     0.5225\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1526\n",
      "INFO:causalml:    Gini   (Control):     0.7297\n",
      "INFO:causalml:    Gini (Treatment):     0.9939\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "146 -0.706790 -0.165058 -1.348082  0.313898  0.513408 -0.992231 -0.989312   \n",
      "573  0.196341  0.991673 -0.825979  1.860407 -1.870355 -1.152153 -1.051394   \n",
      "314 -0.846455 -0.409130 -2.466592  0.522989 -0.052613 -2.655562  1.377086   \n",
      "370 -1.330248  0.617371 -1.086532  0.939956 -1.523047 -0.029272  0.894390   \n",
      "228 -0.479531  0.804877 -0.334062  0.447143  0.576800 -0.277841 -0.766331   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "169 -0.409555 -0.737805 -3.028388  0.817463 -0.393057 -0.845180  1.640679   \n",
      "111  1.024268  0.556637 -0.514663  1.858435 -0.414872 -0.567619  0.793652   \n",
      "29  -1.026446  0.591365  0.862837  0.817784 -0.689067 -0.759426 -0.807769   \n",
      "948  0.137207  0.807432  0.012233 -0.321381 -1.727172 -0.265376  1.037937   \n",
      "525 -1.141040  0.446646 -0.843669  0.808363  0.327886 -0.739442  0.486219   \n",
      "\n",
      "           X0        X1  \n",
      "146 -0.989312 -0.992231  \n",
      "573 -1.051394 -1.152153  \n",
      "314  1.377086 -2.655562  \n",
      "370  0.894390 -0.029272  \n",
      "228 -0.766331 -0.277841  \n",
      "..        ...       ...  \n",
      "169  1.640679 -0.845180  \n",
      "111  0.793652 -0.567619  \n",
      "29  -0.807769 -0.759426  \n",
      "948  1.037937 -0.265376  \n",
      "525  0.486219 -0.739442  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 146     3.922772\n",
      "573     3.364299\n",
      "314    -3.811119\n",
      "370     6.533270\n",
      "228     8.255998\n",
      "         ...    \n",
      "169    -3.755154\n",
      "111    16.735009\n",
      "29      3.429318\n",
      "948     9.814477\n",
      "525     9.406466\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 146     True\n",
      "573     True\n",
      "314    False\n",
      "370     True\n",
      "228     True\n",
      "       ...  \n",
      "169    False\n",
      "111     True\n",
      "29      True\n",
      "948     True\n",
      "525     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "834 -0.921188  0.601325 -1.805151  0.607381  0.656701  0.552350  0.119174   \n",
      "421 -2.057703  0.279791 -0.650186 -0.436779 -0.108370  0.907991 -1.865056   \n",
      "63  -2.000224  0.352174  0.394109 -0.450750  0.766047 -0.466814  2.799461   \n",
      "407 -1.290075  0.523591 -0.037169 -0.751136  0.489787  1.070899  0.626482   \n",
      "216 -1.185130  1.723057 -2.436984 -0.947938 -0.797647 -1.237892  0.020300   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "560 -0.591932  0.047587 -1.357618 -1.008455 -1.341175  0.311592  1.261070   \n",
      "7    0.174130  1.506210 -1.549595  0.782615 -1.878625 -0.626575  1.176085   \n",
      "370 -1.330248  0.617371 -1.086532  0.939956 -1.523047 -0.029272  0.894390   \n",
      "994  0.160794  0.460056  0.691403  0.008455 -0.133095 -1.589448  1.180637   \n",
      "962 -0.058529  0.632542 -0.738886 -0.663994 -0.868324 -2.555294 -0.708468   \n",
      "\n",
      "           X0        X1  \n",
      "834  0.119174  0.552350  \n",
      "421 -1.865056  0.907991  \n",
      "63   2.799461 -0.466814  \n",
      "407  0.626482  1.070899  \n",
      "216  0.020300 -1.237892  \n",
      "..        ...       ...  \n",
      "560  1.261070  0.311592  \n",
      "7    1.176085 -0.626575  \n",
      "370  0.894390 -0.029272  \n",
      "994  1.180637 -1.589448  \n",
      "962 -0.708468 -2.555294  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 834    10.523346\n",
      "421    -2.608507\n",
      "63     15.814566\n",
      "407    10.716455\n",
      "216     2.376140\n",
      "         ...    \n",
      "560    -7.215301\n",
      "7      -2.646268\n",
      "370     6.533270\n",
      "994    13.409683\n",
      "962     1.353868\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 834     True\n",
      "421     True\n",
      "63      True\n",
      "407     True\n",
      "216     True\n",
      "       ...  \n",
      "560    False\n",
      "7      False\n",
      "370     True\n",
      "994     True\n",
      "962     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.1340\n",
      "INFO:causalml:    RMSE (Treatment):     0.7060\n",
      "INFO:causalml:   sMAPE   (Control):     0.5439\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1519\n",
      "INFO:causalml:    Gini   (Control):     0.7274\n",
      "INFO:causalml:    Gini (Treatment):     0.9950\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "629 -1.087554  1.775480  1.171119  0.254408  0.110085 -0.901117  0.490717   \n",
      "168  0.435794  1.361508 -0.020057 -1.105804 -0.948502 -0.816422  1.539983   \n",
      "637 -1.283359  0.832725  0.002037 -1.432698 -2.375726 -1.559718  1.057731   \n",
      "565  0.489147  1.219821 -1.070019  0.305099  0.624808 -0.830622  1.045480   \n",
      "610 -0.711808  1.595194  0.094204  0.005941 -1.302585 -0.669101  1.030998   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "897 -0.501089 -1.031997 -1.334448 -0.012652 -0.451207 -0.315850 -0.369898   \n",
      "62  -0.387319  0.363055 -3.887119 -0.957211 -0.720283 -1.195020 -0.053329   \n",
      "527 -1.914933 -0.160798 -2.443913  0.459466  0.752528 -0.032713  0.745998   \n",
      "941 -0.858300  2.689664  0.060630 -0.800292 -0.649474 -0.542851  0.680252   \n",
      "391 -0.307159  1.106719  1.338069 -1.242240  0.718523  0.202760  0.500101   \n",
      "\n",
      "           X0        X1  \n",
      "629  0.490717 -0.901117  \n",
      "168  1.539983 -0.816422  \n",
      "637  1.057731 -1.559718  \n",
      "565  1.045480 -0.830622  \n",
      "610  1.030998 -0.669101  \n",
      "..        ...       ...  \n",
      "897 -0.369898 -0.315850  \n",
      "62  -0.053329 -1.195020  \n",
      "527  0.745998 -0.032713  \n",
      "941  0.680252 -0.542851  \n",
      "391  0.500101  0.202760  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 629    10.711793\n",
      "168    13.539036\n",
      "637   -10.850731\n",
      "565    17.014565\n",
      "610     9.248446\n",
      "         ...    \n",
      "897    -4.566144\n",
      "62     -5.979631\n",
      "527     8.043131\n",
      "941     9.630585\n",
      "391    13.502571\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 629     True\n",
      "168     True\n",
      "637    False\n",
      "565     True\n",
      "610     True\n",
      "       ...  \n",
      "897    False\n",
      "62     False\n",
      "527     True\n",
      "941     True\n",
      "391     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "384 -0.952465  0.527441 -1.232497 -0.135736 -0.788245  0.164010  0.849034   \n",
      "209 -0.133713  0.654669 -1.106384 -0.108285  1.071118 -1.245543 -0.793213   \n",
      "339 -0.174635  1.102320 -0.538718  1.353400 -2.411045 -0.088519 -0.223676   \n",
      "952 -0.623857  0.509187 -1.613917 -0.527539 -0.021147 -1.638291  1.771485   \n",
      "545 -1.156909  1.955408  0.619625  1.010345  0.520459  0.423056  0.779032   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "839 -0.294596  0.983148 -0.666509  0.796590  0.072181 -0.815520  0.188710   \n",
      "10   0.846619  2.980613  0.205696  2.969570  0.858587 -1.222764  1.147817   \n",
      "734 -2.534543  1.297053 -0.227526 -0.605377 -1.703765 -0.280342  0.415044   \n",
      "941 -0.858300  2.689664  0.060630 -0.800292 -0.649474 -0.542851  0.680252   \n",
      "350 -0.426754  1.054619  1.005346  0.254238 -0.790041 -1.571358  0.573671   \n",
      "\n",
      "           X0        X1  \n",
      "384  0.849034  0.164010  \n",
      "209 -0.793213 -1.245543  \n",
      "339 -0.223676 -0.088519  \n",
      "952  1.771485 -1.638291  \n",
      "545  0.779032  0.423056  \n",
      "..        ...       ...  \n",
      "839  0.188710 -0.815520  \n",
      "10   1.147817 -1.222764  \n",
      "734  0.415044 -0.280342  \n",
      "941  0.680252 -0.542851  \n",
      "350  0.573671 -1.571358  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 384    -5.168611\n",
      "209     8.004465\n",
      "339     4.815990\n",
      "952    -2.868485\n",
      "545    15.065277\n",
      "         ...    \n",
      "839    10.718157\n",
      "10     24.500212\n",
      "734    -0.213830\n",
      "941     9.630585\n",
      "350     8.901755\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 384    False\n",
      "209     True\n",
      "339     True\n",
      "952    False\n",
      "545     True\n",
      "       ...  \n",
      "839     True\n",
      "10      True\n",
      "734     True\n",
      "941     True\n",
      "350     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    RMSE   (Control):     3.0399\n",
      "INFO:causalml:    RMSE (Treatment):     0.7060\n",
      "INFO:causalml:   sMAPE   (Control):     0.5135\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1434\n",
      "INFO:causalml:    Gini   (Control):     0.7466\n",
      "INFO:causalml:    Gini (Treatment):     0.9947\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9668\n",
      "INFO:causalml:    RMSE (Treatment):     0.6953\n",
      "INFO:causalml:   sMAPE   (Control):     0.5294\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1350\n",
      "INFO:causalml:    Gini   (Control):     0.7468\n",
      "INFO:causalml:    Gini (Treatment):     0.9948\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0586\n",
      "INFO:causalml:    RMSE (Treatment):     0.6825\n",
      "INFO:causalml:   sMAPE   (Control):     0.5465\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1460\n",
      "INFO:causalml:    Gini   (Control):     0.7248\n",
      "INFO:causalml:    Gini (Treatment):     0.9953\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "907 -0.596246  0.342098  0.422666  1.205834 -0.189522 -0.157053  1.625369   \n",
      "110 -1.807733  2.432036 -0.421479  1.445365 -0.460025  0.868047  0.873665   \n",
      "282 -0.070319 -0.099650  0.457073  1.593983 -1.547777 -1.467975  0.444530   \n",
      "35  -0.572119 -0.757998 -0.095580 -0.836271  0.268984 -1.592530 -0.137505   \n",
      "562 -1.449613  1.071250 -1.609878  0.729917  1.114471  1.063556 -0.186103   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "825 -1.429357 -0.888809  0.582119 -0.687709 -0.446310 -0.158307  0.811902   \n",
      "596 -1.135855  0.142313  0.627392  0.540314  0.120423 -1.359658  2.273243   \n",
      "293 -2.019915 -0.918739 -1.767926 -1.403425 -0.740373 -1.576824  0.279021   \n",
      "641 -2.239311  2.194117 -0.353902  0.360330  0.632691 -1.221853 -0.388297   \n",
      "516 -0.316795  2.424823  0.020510 -0.536910  0.983380 -0.880608  1.127091   \n",
      "\n",
      "           X0        X1  \n",
      "907  1.625369 -0.157053  \n",
      "110  0.873665  0.868047  \n",
      "282  0.444530 -1.467975  \n",
      "35  -0.137505 -1.592530  \n",
      "562 -0.186103  1.063556  \n",
      "..        ...       ...  \n",
      "825  0.811902 -0.158307  \n",
      "596  2.273243 -1.359658  \n",
      "293  0.279021 -1.576824  \n",
      "641 -0.388297 -1.221853  \n",
      "516  1.127091 -0.880608  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 907    15.569400\n",
      "110    11.934711\n",
      "282     7.672536\n",
      "35     -2.892738\n",
      "562    10.482337\n",
      "         ...    \n",
      "825     5.892887\n",
      "596    14.773593\n",
      "293   -11.609205\n",
      "641     4.862547\n",
      "516    16.717229\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 907     True\n",
      "110     True\n",
      "282     True\n",
      "35     False\n",
      "562     True\n",
      "       ...  \n",
      "825     True\n",
      "596     True\n",
      "293    False\n",
      "641     True\n",
      "516     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "503 -2.066140  2.033010 -1.559405  0.352297  0.418520 -0.333911  1.084480   \n",
      "527 -1.914933 -0.160798 -2.443913  0.459466  0.752528 -0.032713  0.745998   \n",
      "65  -2.860295  0.491337  0.307032  0.402665  0.265118 -1.899636 -0.565288   \n",
      "143 -2.040739  1.654124  2.203868  1.326991 -0.370663 -1.606991 -0.643100   \n",
      "808 -0.291951  1.043771 -0.571882 -0.537580  0.895934 -1.203433  1.200730   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "351 -0.741034  0.497864 -0.483110  1.193559 -0.155819 -1.606313  0.005075   \n",
      "494 -1.309272  0.323194 -1.405781  0.614937  1.179140  0.560715 -0.047731   \n",
      "579 -0.385689  0.379145  0.280441  0.467014 -1.190009 -0.877053 -0.634747   \n",
      "220  0.757100  1.090061 -0.251709  0.571761 -1.084509 -1.752894  0.512210   \n",
      "336 -3.093855  1.469971  0.367279  1.174817 -0.729766 -2.114001  0.885400   \n",
      "\n",
      "           X0        X1  \n",
      "503  1.084480 -0.333911  \n",
      "527  0.745998 -0.032713  \n",
      "65  -0.565288 -1.899636  \n",
      "143 -0.643100 -1.606991  \n",
      "808  1.200730 -1.203433  \n",
      "..        ...       ...  \n",
      "351  0.005075 -1.606313  \n",
      "494 -0.047731  0.560715  \n",
      "579 -0.634747 -0.877053  \n",
      "220  0.512210 -1.752894  \n",
      "336  0.885400 -2.114001  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 503    -3.163402\n",
      "527     8.043131\n",
      "65     -0.860515\n",
      "143     3.430961\n",
      "808    14.588358\n",
      "         ...    \n",
      "351     7.214058\n",
      "494    10.082742\n",
      "579     3.518524\n",
      "220    10.878908\n",
      "336     2.926169\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 503    False\n",
      "527     True\n",
      "65      True\n",
      "143     True\n",
      "808     True\n",
      "       ...  \n",
      "351     True\n",
      "494     True\n",
      "579     True\n",
      "220     True\n",
      "336     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0257\n",
      "INFO:causalml:    RMSE (Treatment):     0.6446\n",
      "INFO:causalml:   sMAPE   (Control):     0.5649\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1381\n",
      "INFO:causalml:    Gini   (Control):     0.7243\n",
      "INFO:causalml:    Gini (Treatment):     0.9956\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "625 -1.336550  0.261883  0.557248 -0.069210  1.161863 -0.761143  1.075224   \n",
      "760 -1.539521  0.393619  0.922067 -2.071477 -0.370860 -1.118111  1.021422   \n",
      "78  -1.150653  0.133818  0.632773  1.970008 -2.371912 -0.758077  0.049079   \n",
      "49  -0.982952  2.225363 -1.526931 -0.694241  0.029243 -0.455032  0.234971   \n",
      "75  -0.681840 -0.860902 -0.003540  0.004867 -0.711607  1.445133  2.210988   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "7    0.174130  1.506210 -1.549595  0.782615 -1.878625 -0.626575  1.176085   \n",
      "710 -0.753746  2.934628 -1.147550 -0.196935 -0.921997 -0.625230 -0.292340   \n",
      "943 -2.252890  0.804815 -1.189588  0.399429 -1.924218 -1.450234  0.482038   \n",
      "271 -1.683731 -0.490214  1.077274  1.927335 -0.447638  1.027982 -0.317068   \n",
      "891 -0.294883 -0.574886 -1.010901  1.587116  0.836384  0.457966  2.071495   \n",
      "\n",
      "           X0        X1  \n",
      "625  1.075224 -0.761143  \n",
      "760  1.021422 -1.118111  \n",
      "78   0.049079 -0.758077  \n",
      "49   0.234971 -0.455032  \n",
      "75   2.210988  1.445133  \n",
      "..        ...       ...  \n",
      "7    1.176085 -0.626575  \n",
      "710 -0.292340 -0.625230  \n",
      "943  0.482038 -1.450234  \n",
      "271 -0.317068  1.027982  \n",
      "891  2.071495  0.457966  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 625    12.619755\n",
      "760    -7.109575\n",
      "78      2.567970\n",
      "49      8.274390\n",
      "75     -4.842126\n",
      "         ...    \n",
      "7      -2.646268\n",
      "710     5.904376\n",
      "943   -10.951371\n",
      "271     6.385709\n",
      "891    20.166272\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 625     True\n",
      "760    False\n",
      "78      True\n",
      "49      True\n",
      "75     False\n",
      "       ...  \n",
      "7      False\n",
      "710     True\n",
      "943    False\n",
      "271     True\n",
      "891     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "906 -1.727409  0.768134  0.127817  2.012317 -0.001440  0.690172  0.662514   \n",
      "98  -0.724707 -0.167508 -2.200046  1.316365 -0.652669  1.877820  0.372580   \n",
      "983 -1.330248  1.247409 -0.571754 -0.359552  0.349860 -0.123228 -0.031874   \n",
      "497 -1.333797  1.734853 -0.414480  0.677529 -1.691099 -1.330015  0.657088   \n",
      "583 -0.820218 -0.945137 -1.568877 -0.082810  0.614237 -0.346996  0.919443   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "894 -0.029186  0.537780 -2.631535  0.408287 -0.885739 -0.202335  1.614458   \n",
      "780 -0.483565  0.853663  1.381569 -0.538695 -0.040407 -0.585683  0.004936   \n",
      "117 -2.185549  0.899307 -1.971894 -1.174155 -1.218568 -0.519142  1.033019   \n",
      "848 -1.892578  1.453947 -2.287147  0.205164 -0.295408 -1.312249  0.506585   \n",
      "258 -1.776837  0.805692 -1.001388  0.520858  0.798608 -1.470144  0.534863   \n",
      "\n",
      "           X0        X1  \n",
      "906  0.662514  0.690172  \n",
      "98   0.372580  1.877820  \n",
      "983 -0.031874 -0.123228  \n",
      "497  0.657088 -1.330015  \n",
      "583  0.919443 -0.346996  \n",
      "..        ...       ...  \n",
      "894  1.614458 -0.202335  \n",
      "780  0.004936 -0.585683  \n",
      "117  1.033019 -0.519142  \n",
      "848  0.506585 -1.312249  \n",
      "258  0.534863 -1.470144  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 906    11.554534\n",
      "98     -3.658929\n",
      "983     7.361146\n",
      "497    -5.843257\n",
      "583    -2.819370\n",
      "         ...    \n",
      "894    -2.776312\n",
      "780     8.820757\n",
      "117   -11.180244\n",
      "848    -5.747920\n",
      "258     8.016723\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 906     True\n",
      "98     False\n",
      "983     True\n",
      "497    False\n",
      "583    False\n",
      "       ...  \n",
      "894    False\n",
      "780     True\n",
      "117    False\n",
      "848    False\n",
      "258     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0735\n",
      "INFO:causalml:    RMSE (Treatment):     0.7186\n",
      "INFO:causalml:   sMAPE   (Control):     0.5432\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1394\n",
      "INFO:causalml:    Gini   (Control):     0.7331\n",
      "INFO:causalml:    Gini (Treatment):     0.9948\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0731\n",
      "INFO:causalml:    RMSE (Treatment):     0.7347\n",
      "INFO:causalml:   sMAPE   (Control):     0.5509\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1434\n",
      "INFO:causalml:    Gini   (Control):     0.7232\n",
      "INFO:causalml:    Gini (Treatment):     0.9945\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0618\n",
      "INFO:causalml:    RMSE (Treatment):     0.7741\n",
      "INFO:causalml:   sMAPE   (Control):     0.5257\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1482\n",
      "INFO:causalml:    Gini   (Control):     0.7235\n",
      "INFO:causalml:    Gini (Treatment):     0.9937\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "379 -2.642522  2.168664 -0.282198 -0.922232 -0.027263 -1.608540  0.585088   \n",
      "91  -1.781143  1.133039 -0.366381 -1.016497  0.753451 -0.648109  0.902865   \n",
      "237 -0.843070  3.028032 -0.964293  0.319940 -2.199262 -0.535469 -1.279896   \n",
      "521 -1.235550  2.140683 -2.152255  0.310299 -1.837627 -0.705293 -0.465131   \n",
      "958 -0.495343  0.847053 -0.028871 -0.718100 -0.871586 -0.630299 -0.132512   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "834 -0.921188  0.601325 -1.805151  0.607381  0.656701  0.552350  0.119174   \n",
      "323 -1.225390  1.130518 -1.096882 -0.350487 -0.604044  0.001088  0.390490   \n",
      "127 -1.184442  1.633850 -0.489806  0.806896 -0.654125 -0.324203 -1.297638   \n",
      "591 -1.762898  1.105254  1.394248  0.278984 -0.431230 -0.144092 -0.668399   \n",
      "768 -0.693216  0.942545 -0.176337 -1.216868 -1.459316  0.118780  0.014068   \n",
      "\n",
      "           X0        X1  \n",
      "379  0.585088 -1.608540  \n",
      "91   0.902865 -0.648109  \n",
      "237 -1.279896 -0.535469  \n",
      "521 -0.465131 -0.705293  \n",
      "958 -0.132512 -0.630299  \n",
      "..        ...       ...  \n",
      "834  0.119174  0.552350  \n",
      "323  0.390490  0.001088  \n",
      "127 -1.297638 -0.324203  \n",
      "591 -0.668399 -0.144092  \n",
      "768  0.014068  0.118780  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 379    -6.731177\n",
      "91      9.048832\n",
      "237    -0.336643\n",
      "521     0.541061\n",
      "958     5.051010\n",
      "         ...    \n",
      "834    10.523346\n",
      "323     6.435152\n",
      "127     2.218793\n",
      "591     3.407731\n",
      "768     3.776833\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 379    False\n",
      "91      True\n",
      "237     True\n",
      "521     True\n",
      "958     True\n",
      "       ...  \n",
      "834     True\n",
      "323     True\n",
      "127     True\n",
      "591     True\n",
      "768     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "66  -0.074892 -0.353977  0.148845 -0.275548 -0.150470  0.507088 -0.258207   \n",
      "411 -0.546985  0.632225  0.177670  1.152931 -1.341671 -1.043610  0.915882   \n",
      "714  0.484495  0.681690 -1.070190  1.380717  0.003125 -0.471048 -0.511469   \n",
      "697 -0.735466  0.746269 -1.122905  0.464823 -0.708806 -2.491421 -0.071736   \n",
      "359 -1.250892  0.608337 -1.159236  1.196291 -2.448155 -1.418204  2.171817   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "883 -1.053935 -0.020818 -0.218070 -0.163484 -1.436398  0.888213  0.560956   \n",
      "677 -0.926078  0.166307 -2.183101  1.988610 -0.286812 -1.952046  0.131363   \n",
      "336 -3.093855  1.469971  0.367279  1.174817 -0.729766 -2.114001  0.885400   \n",
      "74  -0.996694  0.160173 -2.637286 -2.023282  1.303478 -1.990375  1.207325   \n",
      "14  -2.078772  1.196831  1.691383 -0.112157 -0.733879 -1.146159  0.723966   \n",
      "\n",
      "           X0        X1  \n",
      "66  -0.258207  0.507088  \n",
      "411  0.915882 -1.043610  \n",
      "714 -0.511469 -0.471048  \n",
      "697 -0.071736 -2.491421  \n",
      "359  2.171817 -1.418204  \n",
      "..        ...       ...  \n",
      "883  0.560956  0.888213  \n",
      "677  0.131363 -1.952046  \n",
      "336  0.885400 -2.114001  \n",
      "74   1.207325 -1.990375  \n",
      "14   0.723966 -1.146159  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 66      8.421138\n",
      "411     9.164325\n",
      "714    10.878215\n",
      "697     3.459264\n",
      "359     7.556557\n",
      "         ...    \n",
      "883     5.901248\n",
      "677     6.044637\n",
      "336     2.926169\n",
      "74      8.688916\n",
      "14      5.340331\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 66     True\n",
      "411    True\n",
      "714    True\n",
      "697    True\n",
      "359    True\n",
      "       ... \n",
      "883    True\n",
      "677    True\n",
      "336    True\n",
      "74     True\n",
      "14     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0681\n",
      "INFO:causalml:    RMSE (Treatment):     0.7303\n",
      "INFO:causalml:   sMAPE   (Control):     0.5512\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1448\n",
      "INFO:causalml:    Gini   (Control):     0.7432\n",
      "INFO:causalml:    Gini (Treatment):     0.9948\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9306\n",
      "INFO:causalml:    RMSE (Treatment):     0.6556\n",
      "INFO:causalml:   sMAPE   (Control):     0.5388\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1402\n",
      "INFO:causalml:    Gini   (Control):     0.7361\n",
      "INFO:causalml:    Gini (Treatment):     0.9956\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "900 -1.528877  0.854363 -0.020892 -0.125090  1.283825  0.408115 -0.168281   \n",
      "446  0.595650  0.365987 -0.116439  0.995399  0.154264  1.021106 -2.210810   \n",
      "699 -1.175823  0.350680  0.033996  0.794509 -0.475092 -2.358432  0.259472   \n",
      "70  -0.652798  1.861460 -2.041953 -1.200137  0.846213 -0.817692  1.894073   \n",
      "933 -0.934060  1.319778  0.959669 -0.733035 -1.291453 -0.773287  0.716901   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "578 -0.125015 -0.484719 -0.554158 -0.644919 -0.352951 -0.169403  0.807828   \n",
      "365 -0.079718 -0.263842  0.747338  0.929554  0.426811 -1.590757  1.366447   \n",
      "765 -0.608825  1.705784  0.327906 -0.288734 -0.692755  1.172959  0.656402   \n",
      "607 -0.713550 -0.806284 -0.339457 -0.279553 -0.477920 -0.690686 -0.221325   \n",
      "95  -0.058838  4.762058  0.823520  0.244461 -0.340888 -2.698332 -0.572900   \n",
      "\n",
      "           X0        X1  \n",
      "900 -0.168281  0.408115  \n",
      "446 -2.210810  1.021106  \n",
      "699  0.259472 -2.358432  \n",
      "70   1.894073 -0.817692  \n",
      "933  0.716901 -0.773287  \n",
      "..        ...       ...  \n",
      "578  0.807828 -0.169403  \n",
      "365  1.366447 -1.590757  \n",
      "765  0.656402  1.172959  \n",
      "607 -0.221325 -0.690686  \n",
      "95  -0.572900 -2.698332  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 900     9.560536\n",
      "446     6.907692\n",
      "699     4.759513\n",
      "70     15.668385\n",
      "933     6.639250\n",
      "         ...    \n",
      "578    -2.946371\n",
      "365    15.195618\n",
      "765    11.910646\n",
      "607     3.571733\n",
      "95      9.600613\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 900     True\n",
      "446     True\n",
      "699     True\n",
      "70      True\n",
      "933     True\n",
      "       ...  \n",
      "578    False\n",
      "365     True\n",
      "765     True\n",
      "607     True\n",
      "95      True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "65  -2.860295  0.491337  0.307032  0.402665  0.265118 -1.899636 -0.565288   \n",
      "670 -0.325648 -0.215383 -0.051446  0.066123  0.154725 -0.186235 -0.145738   \n",
      "829 -1.396963 -0.080609 -2.047189 -0.910429 -1.164537 -1.251936 -0.347075   \n",
      "684 -2.035070  2.267671  0.292658  0.472886  1.087179 -0.826693  0.637336   \n",
      "959 -1.282991  1.134722 -1.881201  0.830477  0.965414  1.414359 -1.140110   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "355 -0.326494  2.433717  0.080853  1.915810 -0.164674  0.466589 -0.152236   \n",
      "35  -0.572119 -0.757998 -0.095580 -0.836271  0.268984 -1.592530 -0.137505   \n",
      "314 -0.846455 -0.409130 -2.466592  0.522989 -0.052613 -2.655562  1.377086   \n",
      "383 -1.820459  0.011031 -1.003686 -0.301110  0.254573 -1.724935  0.863482   \n",
      "104 -1.505922  2.182535 -1.410477  1.379506 -1.351655 -1.104962 -1.837318   \n",
      "\n",
      "           X0        X1  \n",
      "65  -0.565288 -1.899636  \n",
      "670 -0.145738 -0.186235  \n",
      "829 -0.347075 -1.251936  \n",
      "684  0.637336 -0.826693  \n",
      "959 -1.140110  1.414359  \n",
      "..        ...       ...  \n",
      "355 -0.152236  0.466589  \n",
      "35  -0.137505 -1.592530  \n",
      "314  1.377086 -2.655562  \n",
      "383  0.863482 -1.724935  \n",
      "104 -1.837318 -1.104962  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 65     -0.860515\n",
      "670     8.500958\n",
      "829    -9.531238\n",
      "684    11.451222\n",
      "959     7.562645\n",
      "         ...    \n",
      "355    13.712619\n",
      "35     -2.892738\n",
      "314    -3.811119\n",
      "383     5.450868\n",
      "104    -2.668188\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 65      True\n",
      "670     True\n",
      "829    False\n",
      "684     True\n",
      "959     True\n",
      "       ...  \n",
      "355     True\n",
      "35     False\n",
      "314    False\n",
      "383     True\n",
      "104     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0845\n",
      "INFO:causalml:    RMSE (Treatment):     0.7984\n",
      "INFO:causalml:   sMAPE   (Control):     0.5368\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1555\n",
      "INFO:causalml:    Gini   (Control):     0.7325\n",
      "INFO:causalml:    Gini (Treatment):     0.9935\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n"
     ]
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     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "498  0.922735  1.290530  0.397031  0.589139 -0.007310  0.062392  0.668905   \n",
      "461 -1.364660 -1.842826  0.241333  0.373454 -0.367738  0.860921  0.880397   \n",
      "213 -0.961749  1.214165 -0.354784  1.375875 -1.675979 -0.633450  0.130199   \n",
      "280 -0.924446 -0.495998 -1.067446 -0.475160 -0.560881 -1.593906  1.057462   \n",
      "872 -0.675589  1.480966  0.633872 -1.812491  0.279114 -0.021202  0.937137   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "583 -0.820218 -0.945137 -1.568877 -0.082810  0.614237 -0.346996  0.919443   \n",
      "692 -1.425142 -0.090768 -2.394217  0.281658 -1.069567 -1.236345 -1.514344   \n",
      "824 -2.113843  0.954802 -0.116011  0.031653  0.087367 -0.731206  1.268051   \n",
      "319 -0.246796  1.042340  0.473929 -1.882334 -1.252649 -0.129804 -2.165228   \n",
      "968 -0.626450  0.610291 -0.847638  0.077436  0.480144 -1.839511  0.703036   \n",
      "\n",
      "           X0        X1  \n",
      "498  0.668905  0.062392  \n",
      "461  0.880397  0.860921  \n",
      "213  0.130199 -0.633450  \n",
      "280  1.057462 -1.593906  \n",
      "872  0.937137 -0.021202  \n",
      "..        ...       ...  \n",
      "583  0.919443 -0.346996  \n",
      "692 -1.514344 -1.236345  \n",
      "824  1.268051 -0.731206  \n",
      "319 -2.165228 -0.129804  \n",
      "968  0.703036 -1.839511  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 498    17.581110\n",
      "461    -6.434741\n",
      "213     5.306177\n",
      "280     5.994137\n",
      "872    11.901044\n",
      "         ...    \n",
      "583    -2.819370\n",
      "692    -8.079772\n",
      "824     8.772335\n",
      "319    -2.951778\n",
      "968    10.038489\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 498     True\n",
      "461    False\n",
      "213     True\n",
      "280     True\n",
      "872     True\n",
      "       ...  \n",
      "583    False\n",
      "692    False\n",
      "824     True\n",
      "319     True\n",
      "968     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "566 -0.600353  1.068704 -1.045374  0.760096 -0.036793 -1.155525  0.884924   \n",
      "726 -0.283535  0.621638 -0.999520  0.843142  1.790317 -0.030857  0.902776   \n",
      "272 -3.198219  0.554460  0.179309  2.032221 -0.401181 -1.528464  1.415503   \n",
      "356 -1.087973  1.063452 -0.582690 -0.391019 -0.717769  0.567377  0.968256   \n",
      "836 -0.185908  0.768699 -0.919715 -1.103215 -1.382410 -0.970128 -0.209856   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "644  0.074273 -0.584974 -0.371922  0.791947 -2.236616  0.159478  1.327895   \n",
      "803  0.354704  1.494915  0.648519  0.097670 -0.697552  0.274267  0.820103   \n",
      "186 -0.858757  3.823995  0.218085  1.742811 -1.001666 -0.271821  1.026534   \n",
      "359 -1.250892  0.608337 -1.159236  1.196291 -2.448155 -1.418204  2.171817   \n",
      "333 -0.903943  1.303046 -0.373566  0.414038  0.837871 -0.085945  0.009761   \n",
      "\n",
      "           X0        X1  \n",
      "566  0.884924 -1.155525  \n",
      "726  0.902776 -0.030857  \n",
      "272  1.415503 -1.528464  \n",
      "356  0.968256  0.567377  \n",
      "836 -0.209856 -0.970128  \n",
      "..        ...       ...  \n",
      "644  1.327895  0.159478  \n",
      "803  0.820103  0.274267  \n",
      "186  1.026534 -0.271821  \n",
      "359  2.171817 -1.418204  \n",
      "333  0.009761 -0.085945  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 566    11.504404\n",
      "726    18.301691\n",
      "272    -7.247960\n",
      "356    -4.713297\n",
      "836     2.849093\n",
      "         ...    \n",
      "644     9.476615\n",
      "803    14.674849\n",
      "186    14.738530\n",
      "359     7.556557\n",
      "333    11.223406\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 566     True\n",
      "726     True\n",
      "272    False\n",
      "356    False\n",
      "836     True\n",
      "       ...  \n",
      "644     True\n",
      "803     True\n",
      "186     True\n",
      "359     True\n",
      "333     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    RMSE   (Control):     2.9304\n",
      "INFO:causalml:    RMSE (Treatment):     0.6669\n",
      "INFO:causalml:   sMAPE   (Control):     0.5375\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1398\n",
      "INFO:causalml:    Gini   (Control):     0.7641\n",
      "INFO:causalml:    Gini (Treatment):     0.9957\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9838\n",
      "INFO:causalml:    RMSE (Treatment):     0.6644\n",
      "INFO:causalml:   sMAPE   (Control):     0.5334\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1405\n",
      "INFO:causalml:    Gini   (Control):     0.7088\n",
      "INFO:causalml:    Gini (Treatment):     0.9953\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0108\n",
      "INFO:causalml:    RMSE (Treatment):     0.6659\n",
      "INFO:causalml:   sMAPE   (Control):     0.5188\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1441\n",
      "INFO:causalml:    Gini   (Control):     0.7486\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "580 -0.197310  2.008508 -0.347956  0.087102  0.032457 -2.205103 -0.149105   \n",
      "22   0.539595  1.318356  0.301499  3.369823  0.047571  1.204919  1.920096   \n",
      "87  -1.405182  1.380866 -2.273438  1.029827  0.528251 -0.012064 -0.114884   \n",
      "522  0.488747  0.260763 -0.084712  2.012467  0.136177 -0.514404  1.454348   \n",
      "844 -0.961302  1.353622  0.111644  1.015867 -2.161583  0.255054  0.858101   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "364 -1.078590  1.563574  1.504080 -0.486241 -1.540033 -0.435152  0.956055   \n",
      "643 -0.837543  2.690282 -0.956587  1.519004 -3.148478  1.188059  1.128666   \n",
      "692 -1.425142 -0.090768 -2.394217  0.281658 -1.069567 -1.236345 -1.514344   \n",
      "582 -1.856578  1.519025 -0.354817  1.777607 -0.103456 -0.540906  0.894554   \n",
      "535 -0.498853 -0.438894 -0.539694  0.645447 -0.372969 -1.473858  2.897329   \n",
      "\n",
      "           X0        X1  \n",
      "580 -0.149105 -2.205103  \n",
      "22   1.920096  1.204919  \n",
      "87  -0.114884 -0.012064  \n",
      "522  1.454348 -0.514404  \n",
      "844  0.858101  0.255054  \n",
      "..        ...       ...  \n",
      "364  0.956055 -0.435152  \n",
      "643  1.128666  1.188059  \n",
      "692 -1.514344 -1.236345  \n",
      "582  0.894554 -0.540906  \n",
      "535  2.897329 -1.473858  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 580     8.433110\n",
      "22     25.918390\n",
      "87      8.347375\n",
      "522    19.196033\n",
      "844    -5.710027\n",
      "         ...    \n",
      "364     7.693260\n",
      "643     9.118838\n",
      "692    -8.079772\n",
      "582    10.549091\n",
      "535    16.319324\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 580     True\n",
      "22      True\n",
      "87      True\n",
      "522     True\n",
      "844    False\n",
      "       ...  \n",
      "364     True\n",
      "643     True\n",
      "692    False\n",
      "582     True\n",
      "535     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "532 -1.066751  1.332414 -0.908307 -0.420243 -0.283136 -1.052984  0.072030   \n",
      "995 -2.515948  0.660984 -1.169142 -2.272146 -1.210642 -0.284190 -0.127452   \n",
      "816 -0.262987  0.921280 -0.389069 -0.883456 -2.158824 -1.767588 -0.312548   \n",
      "335 -1.086530  1.994553  0.585116 -0.719867 -2.473053  1.434212  0.722229   \n",
      "533 -1.983985  2.080045 -0.821934 -0.160942 -2.473228 -1.513175 -1.154217   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "3   -2.330312  1.552707 -1.004874  1.042000  0.342380 -1.363540  1.515319   \n",
      "303 -1.789335  1.176506  0.016001  1.199059  0.834791 -0.485443  0.705215   \n",
      "998 -0.107884  0.866378 -1.644002 -0.046340 -1.318515  0.888535  1.662692   \n",
      "119 -0.412019 -1.707939  0.133539  0.898397 -0.839980 -0.812084  1.197569   \n",
      "613 -1.417773 -0.153505  0.258187  0.222832 -1.176441 -0.629369  1.426766   \n",
      "\n",
      "           X0        X1  \n",
      "532  0.072030 -1.052984  \n",
      "995 -0.127452 -0.284190  \n",
      "816 -0.312548 -1.767588  \n",
      "335  0.722229  1.434212  \n",
      "533 -1.154217 -1.513175  \n",
      "..        ...       ...  \n",
      "3    1.515319 -1.363540  \n",
      "303  0.705215 -0.485443  \n",
      "998  1.662692  0.888535  \n",
      "119  1.197569 -0.812084  \n",
      "613  1.426766 -0.629369  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 532     5.559274\n",
      "995   -13.283829\n",
      "816    -0.020121\n",
      "335     6.324474\n",
      "533    -6.739186\n",
      "         ...    \n",
      "3      10.343818\n",
      "303    11.687300\n",
      "998    13.321122\n",
      "119     9.223485\n",
      "613     7.422234\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 532     True\n",
      "995    False\n",
      "816     True\n",
      "335     True\n",
      "533     True\n",
      "       ...  \n",
      "3       True\n",
      "303     True\n",
      "998     True\n",
      "119     True\n",
      "613     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini (Treatment):     0.9954\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0193\n",
      "INFO:causalml:    RMSE (Treatment):     0.7014\n",
      "INFO:causalml:   sMAPE   (Control):     0.5388\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1490\n",
      "INFO:causalml:    Gini   (Control):     0.7211\n",
      "INFO:causalml:    Gini (Treatment):     0.9949\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "199 -0.887451 -0.781149 -0.243760 -0.813839 -0.018489 -1.809168  1.396317   \n",
      "249 -0.735623  0.814306 -1.693160  1.847391 -0.791449 -0.970486 -1.068904   \n",
      "75  -0.681840 -0.860902 -0.003540  0.004867 -0.711607  1.445133  2.210988   \n",
      "629 -1.087554  1.775480  1.171119  0.254408  0.110085 -0.901117  0.490717   \n",
      "719 -1.646363  0.269526 -1.677945  1.596705 -1.646524  0.649971 -0.577936   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "503 -2.066140  2.033010 -1.559405  0.352297  0.418520 -0.333911  1.084480   \n",
      "123 -0.755355  1.402171 -0.488604  1.421476 -2.454651  1.055428 -1.229143   \n",
      "425 -0.547299  1.010457  0.355019  0.509403 -0.299352 -1.751637  1.623652   \n",
      "153 -0.787940  1.279546 -1.034601  0.763826 -0.810432 -1.157911 -0.536019   \n",
      "180 -0.772968  0.508917 -1.168432 -0.936875  1.844232 -0.008911  0.298550   \n",
      "\n",
      "           X0        X1  \n",
      "199  1.396317 -1.809168  \n",
      "249 -1.068904 -0.970486  \n",
      "75   2.210988  1.445133  \n",
      "629  0.490717 -0.901117  \n",
      "719 -0.577936  0.649971  \n",
      "..        ...       ...  \n",
      "503  1.084480 -0.333911  \n",
      "123 -1.229143  1.055428  \n",
      "425  1.623652 -1.751637  \n",
      "153 -0.536019 -1.157911  \n",
      "180  0.298550 -0.008911  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 199     8.221818\n",
      "249    -2.008335\n",
      "75     -4.842126\n",
      "629    10.711793\n",
      "719     0.828056\n",
      "         ...    \n",
      "503    -3.163402\n",
      "123     1.168663\n",
      "425    13.323890\n",
      "153     3.964156\n",
      "180    12.418586\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 199     True\n",
      "249    False\n",
      "75     False\n",
      "629     True\n",
      "719     True\n",
      "       ...  \n",
      "503    False\n",
      "123     True\n",
      "425     True\n",
      "153     True\n",
      "180     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     3.0336\n",
      "INFO:causalml:    RMSE (Treatment):     0.7137\n",
      "INFO:causalml:   sMAPE   (Control):     0.5254\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1430\n",
      "INFO:causalml:    Gini   (Control):     0.7298\n",
      "INFO:causalml:    Gini (Treatment):     0.9946\n",
      "INFO:dowhy.causal_estimator:INFO: Using CausalML Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W4+W2+W1+W3+W0+X1+X0\n",
      "INFO:causalml:Error metrics for group True\n",
      "INFO:causalml:    RMSE   (Control):     2.9814\n",
      "INFO:causalml:    RMSE (Treatment):     0.6610\n",
      "INFO:causalml:   sMAPE   (Control):     0.5544\n",
      "INFO:causalml:   sMAPE (Treatment):     0.1489\n",
      "INFO:causalml:    Gini   (Control):     0.6981\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "772 -1.631390  0.465915 -1.149010  1.590925 -0.376748 -1.413846 -0.295266   \n",
      "75  -0.681840 -0.860902 -0.003540  0.004867 -0.711607  1.445133  2.210988   \n",
      "897 -0.501089 -1.031997 -1.334448 -0.012652 -0.451207 -0.315850 -0.369898   \n",
      "197 -1.572938  0.609204 -2.470786  2.406344 -0.928691 -0.722715  1.007663   \n",
      "650 -1.089175  0.031213 -2.627317  1.213359  0.277555 -1.571450  0.129622   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "112  0.060647  0.642094  1.051395  1.234630 -0.601046  0.340267  2.262831   \n",
      "818 -2.294772  1.081263 -0.110948  0.240523 -2.452061 -0.676310  1.024324   \n",
      "646 -0.626251  1.021268  0.186793  1.691995 -1.534219 -0.559809  0.720521   \n",
      "720 -0.178107  0.545358 -1.188979 -2.009287 -1.712708  0.183073  2.293672   \n",
      "593 -0.197920  1.086551 -0.777233 -1.511006 -0.413144  0.015110  0.344828   \n",
      "\n",
      "           X0        X1  \n",
      "772 -0.295266 -1.413846  \n",
      "75   2.210988  1.445133  \n",
      "897 -0.369898 -0.315850  \n",
      "197  1.007663 -0.722715  \n",
      "650  0.129622 -1.571450  \n",
      "..        ...       ...  \n",
      "112  2.262831  0.340267  \n",
      "818  1.024324 -0.676310  \n",
      "646  0.720521 -0.559809  \n",
      "720  2.293672  0.183073  \n",
      "593  0.344828  0.015110  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 772     3.250030\n",
      "75     -4.842126\n",
      "897    -4.566144\n",
      "197    -4.810420\n",
      "650    -2.393578\n",
      "         ...    \n",
      "112    20.053296\n",
      "818   -11.770683\n",
      "646     9.399353\n",
      "720    11.018665\n",
      "593     8.505994\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 772     True\n",
      "75     False\n",
      "897    False\n",
      "197    False\n",
      "650    False\n",
      "       ...  \n",
      "112     True\n",
      "818    False\n",
      "646     True\n",
      "720     True\n",
      "593     True\n",
      "Name: v0, Length: 800, dtype: bool}\n",
      "{'X':            W4        W2        W1        W3        W0        X1        X0  \\\n",
      "14  -2.078772  1.196831  1.691383 -0.112157 -0.733879 -1.146159  0.723966   \n",
      "309 -0.539594  2.000693  1.298256  0.596046 -2.741050 -0.539698  0.178355   \n",
      "185 -0.265206  0.795345 -1.677192 -0.822158  0.585555 -0.521756 -0.615447   \n",
      "212 -0.919538  1.656161  0.432204  0.358171 -0.174663 -1.124815  1.438214   \n",
      "467 -1.523227  1.571773  0.543944  0.010920  1.160325 -0.031949  0.427831   \n",
      "..        ...       ...       ...       ...       ...       ...       ...   \n",
      "475 -1.371406 -1.789706 -1.298206 -1.611236 -0.709442 -0.195347  2.724470   \n",
      "248 -0.322096  0.956739 -1.722687  0.445099  1.192956 -0.951015 -0.322611   \n",
      "867 -1.435952  0.855195  0.715461 -0.153104 -1.408541 -0.723836  0.896810   \n",
      "458 -1.265210 -0.125523 -0.769733  1.467806 -1.007910  0.213974  0.547473   \n",
      "711  0.099864  0.069601 -0.148899  0.008564 -0.642494 -0.050277  0.035692   \n",
      "\n",
      "           X0        X1  \n",
      "14   0.723966 -1.146159  \n",
      "309  0.178355 -0.539698  \n",
      "185 -0.615447 -0.521756  \n",
      "212  1.438214 -1.124815  \n",
      "467  0.427831 -0.031949  \n",
      "..        ...       ...  \n",
      "475  2.724470 -0.195347  \n",
      "248 -0.322611 -0.951015  \n",
      "867  0.896810 -0.723836  \n",
      "458  0.547473  0.213974  \n",
      "711  0.035692 -0.050277  \n",
      "\n",
      "[800 rows x 9 columns], 'y': 14      5.340331\n",
      "309     4.869483\n",
      "185    -0.302411\n",
      "212    13.226200\n",
      "467    12.156180\n",
      "         ...    \n",
      "475   -10.586297\n",
      "248    10.511960\n",
      "867     5.611633\n",
      "458     7.125670\n",
      "711     8.687897\n",
      "Name: y, Length: 800, dtype: float64, 'treatment': 14      True\n",
      "309     True\n",
      "185    False\n",
      "212     True\n",
      "467     True\n",
      "       ...  \n",
      "475    False\n",
      "248     True\n",
      "867     True\n",
      "458     True\n",
      "711     True\n",
      "Name: v0, Length: 800, dtype: bool}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:causalml:    Gini (Treatment):     0.9955\n",
      "INFO:dowhy.causal_refuters.data_subset_refuter:Making use of Bootstrap as we have more than 100 examples.\n",
      "                 Note: The greater the number of examples, the more accurate are the confidence estimates\n"
     ]
    }
   ],
   "source": [
    "refutation_list = []\n",
    "for estimand in identified_estimands:\n",
    "    for estimate in estimate_list: \n",
    "        for refuter in refuter_list:\n",
    "            ref = model.refute_estimate(estimand, estimate,method_name=refuter)\n",
    "            refutation_list.append(ref)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Refutation Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "####### Refutation 1#######################################################################################\n",
      "*** Class Name ***\n",
      "\n",
      "Refute: Bootstrap Sample Dataset\n",
      "\n",
      "Refute: Bootstrap Sample Dataset\n",
      "Estimated effect:12.89367255934708\n",
      "New effect:12.374411274559812\n",
      "p value:0.28\n",
      "\n",
      "########################################################################################################\n",
      "\n",
      "####### Refutation 2#######################################################################################\n",
      "*** Class Name ***\n",
      "\n",
      "Refute: Use a subset of data\n",
      "\n",
      "Refute: Use a subset of data\n",
      "Estimated effect:12.89367255934708\n",
      "New effect:12.616442370428834\n",
      "p value:0.31000000000000005\n",
      "\n",
      "########################################################################################################\n",
      "\n",
      "####### Refutation 3#######################################################################################\n",
      "*** Class Name ***\n",
      "\n",
      "Refute: Bootstrap Sample Dataset\n",
      "\n",
      "Refute: Bootstrap Sample Dataset\n",
      "Estimated effect:12.075122341243496\n",
      "New effect:12.111367745920434\n",
      "p value:0.44\n",
      "\n",
      "########################################################################################################\n",
      "\n",
      "####### Refutation 4#######################################################################################\n",
      "*** Class Name ***\n",
      "\n",
      "Refute: Use a subset of data\n",
      "\n",
      "Refute: Use a subset of data\n",
      "Estimated effect:12.075122341243496\n",
      "New effect:12.063766705476722\n",
      "p value:0.47\n",
      "\n",
      "########################################################################################################\n",
      "\n",
      "####### Refutation 5#######################################################################################\n",
      "*** Class Name ***\n",
      "\n",
      "Refute: Bootstrap Sample Dataset\n",
      "\n",
      "Refute: Bootstrap Sample Dataset\n",
      "Estimated effect:[11.29290641]\n",
      "New effect:11.336360019179892\n",
      "p value:[0.44]\n",
      "\n",
      "########################################################################################################\n",
      "\n",
      "####### Refutation 6#######################################################################################\n",
      "*** Class Name ***\n",
      "\n",
      "Refute: Use a subset of data\n",
      "\n",
      "Refute: Use a subset of data\n",
      "Estimated effect:[11.29290641]\n",
      "New effect:11.283369137714823\n",
      "p value:[0.47]\n",
      "\n",
      "########################################################################################################\n",
      "\n"
     ]
    }
   ],
   "source": [
    "refuter_count = 1\n",
    "if inspect_refutations is True:\n",
    "    for refutation in refutation_list:\n",
    "        print(\"####### Refutation {}#######################################################################################\".format(refuter_count))\n",
    "        print(\"*** Class Name ***\")\n",
    "        print()\n",
    "        print(refutation.refutation_type)\n",
    "        print()\n",
    "        print(refutation)\n",
    "        print(\"########################################################################################################\")\n",
    "        print()\n",
    "        refuter_count += 1"
   ]
  }
 ],
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